25.1.7 Source Separation, Source Localization, Direction of Arrival, DoA, Analysis

Jiang, W., Haimovich, A.M.,
Cramer-Rao Bound for Noncoherent Direction of Arrival Estimation in the Presence of Sensor Location Errors,
SPLetters(24), No. 9, September 2017, pp. 1303-1307.
IEEE DOI 1708
AWGN, Gaussian distribution, additive white Gaussian noise, closed-form analytical expression, sensor array, sensor location errors, sensor phase errors, signal-to-noise ratio, spatial frequency difference, Cramer-Rao bounds, Frequency estimation, Gaussian distribution, Signal to noise ratio. BibRef

Fan, Z., Liang, G., Wang, Y., Wang, Y., Li, Q.,
Efficient Sub-Regional Multiple-Source Detection Based on Subspace Matrix Filtering,
SPLetters(22), No. 7, July 2015, pp. 943-947.
IEEE DOI 1412
Arrays BibRef

Kumar, L., Hegde, R.M.,
Stochastic Cramer-Rao Bound Analysis for DOA Estimation in Spherical Harmonics Domain,
SPLetters(22), No. 8, August 2015, pp. 1030-1034.
IEEE DOI 1502
direction-of-arrival estimation BibRef

Boudjellal, A., Mesloub, A., Abed-Meraim, K., Belouchrani, A.,
Separation of Dependent Autoregressive Sources Using Joint Matrix Diagonalization,
SPLetters(22), No. 8, August 2015, pp. 1180-1183.
IEEE DOI 1502
autoregressive processes BibRef

Shaghaghi, M., Vorobyov, S.A.,
Cramer-Rao Bound for Sparse Signals Fitting the Low-Rank Model with Small Number of Parameters,
SPLetters(22), No. 9, September 2015, pp. 1497-1501.
IEEE DOI 1503
Covariance matrices BibRef

Bou Daher, E., Ahmad, F., Amin, M.G.,
Sparsity-Based Direction Finding of Coherent and Uncorrelated Targets Using Active Nonuniform Arrays,
SPLetters(22), No. 10, October 2015, pp. 1628-1632.
IEEE DOI 1506
MIMO communication BibRef

Kang, J.W.[Jae-Wook], Jung, H.[Hyoyoung], Kim, K.[Kiseon],
Fast Signal Separation of 2-D Sparse Mixture via Approximate Message-Passing,
SPLetters(22), No. 11, November 2015, pp. 2024-2028.
IEEE DOI 1509
inverse problems BibRef

Chenot, C., Bobin, J., Rapin, J.,
Robust Sparse Blind Source Separation,
SPLetters(22), No. 11, November 2015, pp. 2172-2176.
IEEE DOI 1509
blind source separation BibRef

Chenot, C., Bobin, J.,
Blind Source Separation with Outliers in Transformed Domains,
SIIMS(11), No. 2, 2018, pp. 1524-1559.
DOI Link 1807
BibRef

Rampa, V., Savazzi, S., Nicoli, M., d'Amico, M.,
Physical Modeling and Performance Bounds for Device-free Localization Systems,
SPLetters(22), No. 11, November 2015, pp. 1864-1868.
IEEE DOI 1509
electromagnetic wave diffraction BibRef

Yu, J.X.[Jie-Xiao], Zhang, L.[Liang], Liu, K.H.[Kai-Hua],
Coherently Distributed Wideband LFM Source Localization,
SPLetters(22), No. 4, April 2015, pp. 504-508.
IEEE DOI 1411
linear frequency-modulated. Fourier transforms BibRef

Yin, J., Wan, Q., Yang, S., Ho, K.C.,
A Simple and Accurate TDOA-AOA Localization Method Using Two Stations,
SPLetters(23), No. 1, January 2016, pp. 144-148.
IEEE DOI 1601
Azimuth BibRef

Yin, P.H.[Peng-Hang], Sun, Y.C.[Yuan-Chang], Xin, J.[Jack],
A geometric blind source separation method based on facet component analysis,
SIViP(10), No. 1, January 2016, pp. 19-28.
WWW Link. 1601
BibRef

Grenier, D.[Dominic], Elahian, B.[Bahareh], Blanchard-Lapierre, A.[Alexia],
Joint delay and direction of arrivals estimation in mobile communications,
SIViP(10), No. 1, January 2016, pp. 45-54.
Springer DOI 1601
BibRef

Blanchard-Lapierre, A.[Alexia], Grenier, D.[Dominic],
The JDTDOA algorithm applied to signal recovery: a performance analysis,
SIViP(11), No. 7, October 2017, pp. 1205-1212.
WWW Link. 1708
BibRef

Tirer, T., Weiss, A.J.,
High Resolution Direct Position Determination of Radio Frequency Sources,
SPLetters(23), No. 2, February 2016, pp. 192-196.
IEEE DOI 1602
array signal processing BibRef

Jiang, W., Xu, C., Pei, L., Yu, W.,
Multidimensional Scaling-Based TDOA Localization Scheme Using an Auxiliary Line,
SPLetters(23), No. 4, April 2016, pp. 546-550.
IEEE DOI 1604
Cost function BibRef

Qiu, L., Cai, Y., de Lamare, R.C., Zhao, M.,
Reduced-Rank DOA Estimation Algorithms Based on Alternating Low-Rank Decomposition,
SPLetters(23), No. 5, May 2016, pp. 565-569.
IEEE DOI 1604
array signal processing BibRef

Zou, L., Chen, X., Wang, Z.J.,
Underdetermined Joint Blind Source Separation for Two Datasets Based on Tensor Decomposition,
SPLetters(23), No. 5, May 2016, pp. 673-677.
IEEE DOI 1604
Blind source separation BibRef

Koochakzadeh, A., Pal, P.,
Cramer-Rao Bounds for Underdetermined Source Localization,
SPLetters(23), No. 7, July 2016, pp. 919-923.
IEEE DOI 1608
array signal processing BibRef

Choi, J.,
Sparse Signal Detection for Space Shift Keying Using the Monte Carlo EM Algorithm,
SPLetters(23), No. 7, July 2016, pp. 974-978.
IEEE DOI 1608
Monte Carlo methods BibRef

Wang, W., Wang, G., Zhang, F., Li, Y.,
Second-Order Cone Relaxation for TDOA-Based Localization Under Mixed LOS/NLOS Conditions,
SPLetters(23), No. 12, December 2016, pp. 1872-1876.
IEEE DOI 1612
optimisation BibRef

Yu, K., Zhang, Y.D., Bao, M., Hu, Y.H., Wang, Z.,
DOA Estimation From One-Bit Compressed Array Data via Joint Sparse Representation,
SPLetters(23), No. 9, September 2016, pp. 1279-1283.
IEEE DOI 1609
compressed sensing BibRef

Ta, S.Y.[Shi-Ying], Wang, H.Q.[Hong-Qiang], Chen, H.W.[Hao-Wen],
Two-dimensional direction-of-arrival estimation and pairing using L-shaped arrays,
SIViP(10), No. 8, November 2016, pp. 1511-1518.
WWW Link. 1610
BibRef

Gerstoft, P., Mecklenbräuker, C.F., Xenaki, A., Nannuru, S.,
Multisnapshot Sparse Bayesian Learning for DOA,
SPLetters(23), No. 10, October 2016, pp. 1469-1473.
IEEE DOI 1610
Bayes methods BibRef

Lemos, R.P.[Rodrigo Pinto], Leao e Silva, H.V.[Hugo Vinicius], Flores, E.L.[Edna Lucia], Kunzler, J.A.[Jonas Augusto], Burgos, D.F.[Diego Fernando],
Spatial Filtering Based on Differential Spectrum for Improving ML DOA Estimation Performance,
SPLetters(23), No. 12, December 2016, pp. 1811-1815.
IEEE DOI 1612
FIR filters BibRef

Shaw, A.K.,
Improved Wideband DOA Estimation Using Modified TOPS (mTOPS) Algorithm,
SPLetters(23), No. 12, December 2016, pp. 1697-1701.
IEEE DOI 1612
array signal processing BibRef

Liu, J., Wu, X., Emery, W.J., Zhang, L., Li, C., Ma, K.,
Direction-of-Arrival Estimation and Sensor Array Error Calibration Based on Blind Signal Separation,
SPLetters(24), No. 1, January 2017, pp. 7-11.
IEEE DOI 1702
blind source separation BibRef

Li, Y.B.[Yi-Bing], Nie, W.[Wei], Ye, F.[Fang], Wang, Q.Y.[Qiu-Ying],
A complex mixing matrix estimation algorithm in under-determined blind source separation problems,
SIViP(11), No. 2, February 2017, pp. 301-308.
WWW Link. 1702
BibRef

Li, Y.B.[Yi-Bing], Wang, Y.F.[Yi-Fan], Dong, Q.H.[Qian-Hui],
A novel mixing matrix estimation algorithm in instantaneous underdetermined blind source separation,
SIViP(14), No. 5, July 2020, pp. 1001-1008.
Springer DOI 2006
BibRef

Scarano, G., Petroni, A., Biagi, M., Cusani, R.,
Second-Order Statistics Driven LMS Blind Fractionally Spaced Channel Equalization,
SPLetters(24), No. 2, February 2017, pp. 161-165.
IEEE DOI 1702
blind equalisers BibRef

Dai, J., Bao, X., Xu, W., Chang, C.,
Root Sparse Bayesian Learning for Off-Grid DOA Estimation,
SPLetters(24), No. 1, January 2017, pp. 46-50.
IEEE DOI 1702
direction-of-arrival estimation BibRef

Fascista, A., Ciccarese, G., Coluccia, A., Ricci, G.,
A Localization Algorithm Based on V2I Communications and AOA Estimation,
SPLetters(24), No. 1, January 2017, pp. 126-130.
IEEE DOI 1702
direction-of-arrival estimation BibRef

Shen, Q., Liu, W., Cui, W., Wu, S., Zhang, Y.D., Amin, M.G.,
Focused Compressive Sensing for Underdetermined Wideband DOA Estimation Exploiting High-Order Difference Coarrays,
SPLetters(24), No. 1, January 2017, pp. 86-90.
IEEE DOI 1702
compressed sensing BibRef

Choi, J., Kim, J., Kim, N.S.,
Robust Time-Delay Estimation for Acoustic Indoor Localization in Reverberant Environments,
SPLetters(24), No. 2, February 2017, pp. 226-230.
IEEE DOI 1702
acoustic signal processing BibRef

Wu, L.L.[Liu-Li], Liu, Z.M.[Zhang-Meng], Jiang, W.L.[Wen-Li],
A direction finding method for spatial optical beam-forming network based on sparse Bayesian learning,
SIViP(11), No. 2, February 2017, pp. 203-209.
Springer DOI 1702
BibRef

Lee, K.H.[Kyung-Hoon], Hwang, W.J.[Won-Jun], Ryu, H.S.[Hyun-Seok], Choi, H.J.[Hyung-Jin],
New TDOA-Based Three-Dimensional Positioning Method for 3GPP LTE System,
ETRI(39), No. 2, April 2017, pp. 264-274.
DOI Link 1704
BibRef

Searle, S.,
An Examination of Bias in SODA Interferometry,
SPLetters(24), No. 4, April 2017, pp. 470-474.
IEEE DOI 1704
direction-of-arrival estimation BibRef

Dong, Y.Y., Dong, C.x., Liu, W., Chen, H., Zhao, G.q.,
2-D DOA Estimation for L-Shaped Array With Array Aperture and Snapshots Extension Techniques,
SPLetters(24), No. 4, April 2017, pp. 495-499.
IEEE DOI 1704
Apertures BibRef

Giri, R., Rao, B.D., Garudadri, H.,
Reweighted Algorithms for Independent Vector Analysis,
SPLetters(24), No. 4, April 2017, pp. 362-366.
IEEE DOI 1704
blind source separation BibRef

Qiao, H., Pal, P.,
On Maximum-Likelihood Methods for Localizing More Sources Than Sensors,
SPLetters(24), No. 5, May 2017, pp. 703-706.
IEEE DOI 1704
Covariance matrices BibRef

Cobos, M., García-Pineda, M., Arevalillo-Herráez, M.,
Steered Response Power Localization of Acoustic Passband Signals,
SPLetters(24), No. 5, May 2017, pp. 717-721.
IEEE DOI 1704
Acoustics BibRef

Hu, N., Sun, B., Zhang, Y., Dai, J., Wang, J., Chang, C.,
Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian Learning,
SPLetters(24), No. 5, May 2017, pp. 535-539.
IEEE DOI 1704
Bayes methods BibRef

Cao, H., Chan, Y.T., So, H.C.,
Maximum Likelihood TDOA Estimation From Compressed Sensing Samples Without Reconstruction,
SPLetters(24), No. 5, May 2017, pp. 564-568.
IEEE DOI 1704
compressed sensing BibRef

Raimondi, F.E.D., Comon, P.,
Tensor DoA Estimation With Directional Elements,
SPLetters(24), No. 5, May 2017, pp. 648-652.
IEEE DOI 1704
Array signal processing BibRef

Tao, J.W.[Jian-Wu], Fan, Q.J.[Qiong-Jian], Yu, F.[Fei],
Stokes parameters and DOAs estimation of partially polarized sources using a EM vector sensor,
SIViP(11), No. 4, May 2017, pp. 737-744.
WWW Link. 1704
BibRef

Dong, Y.L.[Yun-Long], Liu, M.[Ming], Li, K.[Kai], Tang, Z.K.[Zhi-Kai], Liu, W.J.[Wei-Jian],
Adaptive Direction Detection in Deterministic Interference and Partially Homogeneous Noise,
SPLetters(24), No. 5, May 2017, pp. 599-603.
IEEE DOI 1704
adaptive signal detection BibRef

Xiong, W.M.[Wen-Meng], Picheral, J.[José], Marcos, S.[Sylvie],
Robustness of the coherently distributed MUSIC algorithm to the imperfect knowledge of the spatial distribution of the sources,
SIViP(11), No. 4, May 2017, pp. 721-728.
Springer DOI 1704
MUltiple SIgnal Classification. BibRef

Bottomley, G.E., Zangi, K.,
Direct Geolocation of Spread-Spectrum Emitters,
SPLetters(24), No. 7, July 2017, pp. 968-971.
IEEE DOI 1706
Delays, Geology, Maximum likelihood estimation, Sensors, Shape, Signal to noise ratio, Code-division multiple access, detection, geolocation, position estimation, spread, spectrum BibRef

Hosseini, S.M., Sebt, M.A.,
Array Interpolation Using Covariance Matrix Completion of Minimum-Size Virtual Array,
SPLetters(24), No. 7, July 2017, pp. 1063-1067.
IEEE DOI 1706
Apertures, Array signal processing, Covariance matrices, Interpolation, Minimization, Sensor arrays, Direction-of-arrival (DOA), interpolation, matrix completion, sparse arrays, virtual, array BibRef

Wang, B., Zhang, Y.D., Wang, W.,
Robust DOA Estimation in the Presence of Miscalibrated Sensors,
SPLetters(24), No. 7, July 2017, pp. 1073-1077.
IEEE DOI 1706
Covariance matrices, Direction-of-arrival estimation, Estimation, Robustness, Sensor arrays, Signal processing algorithms, Calibration error, compressive sensing (CS), maximum correntropy criterion (MCC), outlier, robust, direction-of-arrival, (DOA), estimation BibRef

Mayyala, Q., Abed-Meraim, K., Zerguine, A.,
Structure-Based Subspace Method for Multichannel Blind System Identification,
SPLetters(24), No. 8, August 2017, pp. 1183-1187.
IEEE DOI 1708
FIR filters, Toeplitz matrices, channel estimation, minimisation, BibRef

Zeng, T.J.[Tiao-Jun], Wang, C.J.[Chuan-Jian],
A two-stage dual-matrix method of blind signal separation,
SIViP(11), No. 6, September 2017, pp. 1171-1179.
WWW Link. 1708
BibRef

Steinwandt, J., Roemer, F., Haardt, M.,
Generalized Least Squares for ESPRIT-Type Direction of Arrival Estimation,
SPLetters(24), No. 11, November 2017, pp. 1681-1685.
IEEE DOI 1710
Covariance matrices, Direction-of-arrival estimation, Estimation error, Linear systems, Direction of arrival (DOA) estimation, ESPRIT, generalized least squares (GLS), shift, invariance, equation, (SIE) BibRef

Abeida, H., Delmas, J.P.,
Direct Derivation of the Stochastic CRB of DOA Estimation for Rectilinear Sources,
SPLetters(24), No. 10, October 2017, pp. 1522-1526.
IEEE DOI 1710
stochastic processes, Crame´r-Rao bound, DCRB, DOA estimation. Slepian-Sangs formula, deterministic Cramér-Rao bound (DCRB), BibRef

Jiang, M.[Ming], Bobin, J.[Jérôme], Starck, J.L.[Jean-Luc],
Joint Multichannel Deconvolution and Blind Source Separation,
SIIMS(10), No. 4, 2017, pp. 1997-2021.
DOI Link 1801
BibRef

Griesmaier, R.[Roland], Schmiedecke, C.[Christian],
A Factorization Method for Multifrequency Inverse Source Problems with Sparse Far Field Measurements,
SIIMS(10), No. 4, 2017, pp. 2119-2139.
DOI Link 1801
BibRef

Moon, T.K., Gunther, J.H.,
Transform-Based Computation of the Distribution of a Linear Combination of Random Variables Over Arbitrary Finite Fields,
SPLetters(18), No. 12, December 2011, pp. 737-740.
IEEE DOI 1112
BibRef

Moon, T.K., Gunther, J.H.,
Contravariant Adaptation on the Manifold of Invertible Matrix Transfer Functions,
SPLetters(24), No. 6, June 2017, pp. 756-759.
IEEE DOI 1705
Adaptive filters, Blind source separation BibRef

Moon, T.K., Gunther, J.H.,
Contravariant Adaptation on the Manifold of Causal, FIR, Invertible Multivariable Matrix Systems,
SPLetters(24), No. 10, October 2017, pp. 1572-1576.
IEEE DOI 1710
FIR filters, Toeplitz matrices, convolution, fast Fourier transform based convolution, finite impulse response systems, invertible multivariable matrix systems, BibRef

Ta, S.Y.[Shi-Ying], Wang, H.Q.[Hong-Qiang],
Propagator-based computationally efficient direction finding via low-dimensional equation rooting,
SIViP(12), No. 1, January 2018, pp. 83-90.
Springer DOI 1801
BibRef

Lai, Y.P.[Ye-Ping], Zhou, H.[Hao], Zeng, Y.M.[Yu-Ming], Wen, B.Y.[Bi-Yang],
Quantifying and Reducing the DOA Estimation Error Resulting from Antenna Pattern Deviation for Direction-Finding HF Radar,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Rao, W., Li, D., Zhang, J.Q.,
A Tensor-Based Approach to L-Shaped Arrays Processing With Enhanced Degrees of Freedom,
SPLetters(25), No. 2, February 2018, pp. 1-5.
IEEE DOI 1802
array signal processing, direction-of-arrival estimation, matrix algebra, tensors, 2-D DOA estimation, DOF, L-shaped array, ULA, two-dimensional (2-D) angle estimation BibRef

Liao, T., Pan, Y., Wang, W.Q.,
Generalized Linear Frequency Diverse Array Manifold Curve Analysis,
SPLetters(25), No. 6, June 2018, pp. 768-772.
IEEE DOI 1806
array signal processing, direction-of-arrival estimation, radar signal processing, Crame´r-Rao lower bound, manifold curve BibRef

Liao, T., Wang, W., Huang, B.,
Manifold Sensitivity Analysis of Frequency Diverse Array,
SPLetters(27), 2020, pp. 1020-1024.
IEEE DOI 2007
Manifolds, Sensitivity, Antenna arrays, Shape, Uncertainty, Robustness, Frequency diverse array (FDA), FDA antenna, array manifold, differential geometry BibRef

Guo, M., Zhang, Y.D., Chen, T.,
Performance Analysis for Uniform Linear Arrays Exploiting Two Coprime Frequencies,
SPLetters(25), No. 6, June 2018, pp. 838-842.
IEEE DOI 1806
array signal processing, covariance matrices, direction-of-arrival estimation, CRB, Crame´r-Rao bound, performance analysis BibRef

Jain, N.[Neeraj], Verma, S.[Shekhar], Kumar, M.[Manish],
Low cost localization using Nyström extended locally linear embedding,
PRL(110), 2018, pp. 30-35.
Elsevier DOI 1806
Locally linear embedding, Localization, Nyström method, Received signal strength indicator, Manifold learning BibRef

Du, B., Wang, S., Xu, C., Wang, N., Zhang, L., Tao, D.,
Multi-Task Learning for Blind Source Separation,
IP(27), No. 9, September 2018, pp. 4219-4231.
IEEE DOI 1807
blind source separation, learning (artificial intelligence), blind source separation, image processing, multitask learning, multi-task learning BibRef

Liao, H., Su, L.,
Monaural Source Separation Using Ramanujan Subspace Dictionaries,
SPLetters(25), No. 8, August 2018, pp. 1156-1160.
IEEE DOI 1808
approximation theory, convolutional codes, frequency-domain analysis, iterative methods, score-informed (SI) source separation BibRef

Qian, C.,
A Simple Modification of ESPRIT,
SPLetters(25), No. 8, August 2018, pp. 1256-1260.
IEEE DOI 1808
array signal processing, direction-of-arrival estimation, invariance, least squares approximations, matrix algebra, ESPRIT BibRef

Evers, C., Habets, E.A.P., Gannot, S., Naylor, P.A.,
DoA Reliability for Distributed Acoustic Tracking,
SPLetters(25), No. 9, September 2018, pp. 1320-1324.
IEEE DOI 1809
acoustic communication (telecommunication), direction-of-arrival estimation, wireless sensor networks, smart homes BibRef

Liu, L., Wei, P.,
Joint DOA and Frequency Estimation With Sub-Nyquist Sampling in the Sparse Array System,
SPLetters(25), No. 9, September 2018, pp. 1285-1289.
IEEE DOI 1809
array signal processing, covariance matrices, direction-of-arrival estimation, frequency estimation, sub-Nyquist sampling BibRef

Nait-Meziane, M., Abed-Meraim, K., Seghouane, A.K., Mesloub, A.,
Hybrid Joint Diagonalization Algorithms,
SPLetters(25), No. 10, October 2018, pp. 1580-1584.
IEEE DOI 1810
blind source separation, Hermitian matrices, Jacobian matrices, transpose congruence, Jacobi-like algorithms, orthogonal and nonorthogonal joint diagonalization BibRef

Nguyen, N.H., Dogançay, K.,
Instrumental Variable Based Kalman Filter Algorithm for Three-Dimensional AOA Target Tracking,
SPLetters(25), No. 10, October 2018, pp. 1605-1609.
IEEE DOI 1810
computational complexity, direction-of-arrival estimation, Kalman filters, mean square error methods, target tracking, recursive target tracking BibRef

Zhou, C., Gu, Y., Shi, Z., Zhang, Y.D.,
Off-Grid Direction-of-Arrival Estimation Using Coprime Array Interpolation,
SPLetters(25), No. 11, November 2018, pp. 1710-1714.
IEEE DOI 1811
array signal processing, covariance matrices, direction-of-arrival estimation, interpolation, off-grid BibRef

Yang, S., Wang, G., Hu, Y., Chen, H.,
Robust Differential Received Signal Strength Based Localization With Model Parameter Errors,
SPLetters(25), No. 11, November 2018, pp. 1740-1744.
IEEE DOI 1811
concave programming, least squares approximations, minimax techniques, relaxation theory, signal processing, semidefinite relaxation (SDR) BibRef

Li, J.[Jiong], Zhang, H.[Hang], Wang, P.F.[Peng-Fei],
Blind separation of temporally correlated noncircular sources using complex matrix joint diagonalization,
PR(87), 2019, pp. 285-295.
Elsevier DOI 1812
Blind source separation, Widely linear filter, Complex matrix joint diagonalization, Shear and Givens rotations BibRef

Palakkal, V., Ramalingam, C.S.,
Improving the Estimation of Sinusoidal Frequencies and Direction-of-Arrival Using Line Spectral Frequencies,
SPLetters(25), No. 12, December 2018, pp. 1780-1784.
IEEE DOI 1812
direction-of-arrival estimation, estimation theory, filtering theory, frequency estimation, spectral analysis, frequency estimation BibRef

Chen, Y., Wang, W., Wang, Z., Xia, B.,
A Source Counting Method Using Acoustic Vector Sensor Based on Sparse Modeling of DOA Histogram,
SPLetters(26), No. 1, January 2019, pp. 69-73.
IEEE DOI 1901
acoustic signal processing, array signal processing, blind source separation, direction-of-arrival estimation, OMP BibRef

Govinda Raj, A., McClellan, J.H.,
Single Snapshot Super-Resolution DOA Estimation for Arbitrary Array Geometries,
SPLetters(26), No. 1, January 2019, pp. 119-123.
IEEE DOI 1901
array signal processing, direction-of-arrival estimation, Fourier series, minimisation, polynomials, signal resolution, limited snapshots BibRef

Wozniak, S., Kowalczyk, K.,
Passive Joint Localization and Synchronization of Distributed Microphone Arrays,
SPLetters(26), No. 2, February 2019, pp. 292-296.
IEEE DOI 1902
calibration, direction-of-arrival estimation, distributed sensors, least squares approximations, least squares approximation BibRef

Herzog, A., Habets, E.A.P.,
Eigenbeam-ESPRIT for DOA-Vector Estimation,
SPLetters(26), No. 4, April 2019, pp. 572-576.
IEEE DOI 1903
Direction-of-arrival estimation, Harmonic analysis, Eigenvalues and eigenfunctions, Estimation, Microphone arrays, spherical harmonics domain BibRef

Wu, L., Huang, Z.,
Coherent SVR Learning for Wideband Direction-of-Arrival Estimation,
SPLetters(26), No. 4, April 2019, pp. 642-646.
IEEE DOI 1903
Direction-of-arrival estimation, Wideband, Estimation, Training, Correlation, Narrowband, Machine learning, Wideband DOA estimation, coherent support vector regression BibRef

Qin, G., Zhang, Y.D., Amin, M.G.,
DOA Estimation Exploiting Moving Dilated Nested Arrays,
SPLetters(26), No. 3, March 2019, pp. 490-494.
IEEE DOI 1903
array signal processing, direction-of-arrival estimation, estimation exploiting moving dilated nested, array motion BibRef

Shi, Y., Mao, X., Qian, C., Liu, Y.,
Robust Relaxation for Coherent DOA Estimation in Impulsive Noise,
SPLetters(26), No. 3, March 2019, pp. 410-414.
IEEE DOI 1903
direction-of-arrival estimation, impulse noise, iterative methods, optimisation, lp-norm, impulsive noise BibRef

Eguizabal, A.[Alma], Lameiro, C.[Christian], Ramírez, D.[David], Schreier, P.J.[Peter J.],
Source Enumeration in the Presence of Colored Noise,
SPLetters(26), No. 3, March 2019, pp. 475-479.
IEEE DOI 1903
array signal processing, regression analysis, signal detection, white noise, information-theoretic criteria, model order, multivariate regression BibRef

Wu, L.L.[Liu-Li], Liu, Z.M.[Zhang-Meng], Huang, Z.T.[Zhi-Tao],
Online source number estimation based on sequential hypothesis test and subspace tracking,
SIViP(13), No. 2, March 2019, pp. 307-311.
Springer DOI 1904
BibRef

Bai, H., Duarte, M.F., Janaswamy, R.,
Direction of Arrival Estimation for Complex Sources Through L_1 Norm Sparse Bayesian Learning,
SPLetters(26), No. 5, May 2019, pp. 765-769.
IEEE DOI 1905
array signal processing, Bayes methods, direction-of-arrival estimation, sparse Bayesian learning BibRef

Ma, F.Q.[Fu-Qiang], Zhang, X.T.[Xiao-Tong],
Wideband DOA estimation based on focusing signal subspace,
SIViP(13), No. 4, June 2019, pp. 675-682.
WWW Link. 1906
BibRef

Esfandiari, M., Vorobyov, S.A., Alibani, S., Karimi, M.,
Non-Iterative Subspace-Based DOA Estimation in the Presence of Nonuniform Noise,
SPLetters(26), No. 6, June 2019, pp. 848-852.
IEEE DOI 1906
covariance matrices, direction-of-arrival estimation, eigenvalues and eigenfunctions, white noise, spectral analysis BibRef

Wang, M., Zhang, Z., Nehorai, A.,
Grid-Less DOA Estimation Using Sparse Linear Arrays Based on Wasserstein Distance,
SPLetters(26), No. 6, June 2019, pp. 838-842.
IEEE DOI 1906
array signal processing, covariance matrices, direction-of-arrival estimation, convex optimization BibRef

Weiss, A., Yeredor, A.,
Blind Determination of the Number of Sources Using Distance Correlation,
SPLetters(26), No. 6, June 2019, pp. 828-832.
IEEE DOI 1906
blind source separation, correlation methods, covariance matrices, Gaussian processes, higher order statistics, high-order statistics BibRef

Zaïdi, A.,
Necessary and Sufficient Conditions for the Existence of Robust Whitening Matrices,
SPLetters(26), No. 6, June 2019, pp. 863-867.
IEEE DOI 1906
blind source separation, covariance matrices, blind source separation, BSS, positive definite symmetric pencil, positive definite symmetric pencil BibRef

Smith, S., Pischella, M., Terré, M.,
A Moment-Based Estimation Strategy for Underdetermined Single-Sensor Blind Source Separation,
SPLetters(26), No. 6, June 2019, pp. 788-792.
IEEE DOI 1906
blind source separation, channel estimation, higher order statistics, iterative methods, multiuser interference BibRef

Xiao, Y., Xie, J., Huang, L., So, H.C.,
Multiantenna Assisted Source Detection in Toeplitz Noise Covariance,
SPLetters(26), No. 6, June 2019, pp. 813-817.
IEEE DOI 1906
covariance matrices, iterative methods, maximum likelihood estimation, signal detection, constant false alarm rate BibRef

Huang, X.D.[Xiao-Dong], Liao, B.[Bin],
One-Bit MUSIC,
SPLetters(26), No. 7, July 2019, pp. 961-965.
IEEE DOI 1906
array signal processing, covariance matrices, direction-of-arrival estimation, matrix algebra, multiple signal classification (MUSIC) BibRef

Xu, S.[Sheng], Ou, Y.S.[Yong-Sheng], Zheng, W.M.[Wei-Min],
Optimal Sensor-Target Geometries for 3-D Static Target Localization Using Received-Signal-Strength Measurements,
SPLetters(26), No. 7, July 2019, pp. 966-970.
IEEE DOI 1906
approximation theory, geometry, matrix algebra, optimisation, sensor placement, signal processing, target tracking, 3-dimensional (3D) space BibRef

Loof, J.L., Pratt, T.G.,
Blind Separation of Frequency-Hopped Signals Using a Space-Polarization Receiver,
SPLetters(26), No. 7, July 2019, pp. 1061-1064.
IEEE DOI 1906
Manifolds, Receivers, Signal to noise ratio, Dispersion, Frequency synchronization, Antenna arrays, Indexes, space-polarization BibRef

Wu, G.Z., Zhang, M., Guo, F.C.,
High-resolution direct position determination based on eigenspace using a single moving ULA,
SIViP(13), No. 5, July 2019, pp. 887-894.
Springer DOI 1906
ULA: uniform linear array. BibRef

Elbir, A.M.[Ahmet M.],
Sensor array calibration with joint-block-sparsity in the presence of multiple separable observations,
SIViP(13), No. 5, July 2019, pp. 905-913.
Springer DOI 1906
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Dong, H.P.[He-Ping], Lai, J.[Jun], Li, P.J.[Pei-Jun],
Inverse Obstacle Scattering for Elastic Waves with Phased or Phaseless Far-Field Data,
SIIMS(12), No. 2, 2019, pp. 809-838.
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Liu, J., Liu, X., Sun, J.,
Extended Sampling Method for Inverse Elastic Scattering Problems Using One Incident Wave,
SIIMS(12), No. 2, 2019, pp. 874-892.
DOI Link 1907
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Li, Z.X.[Zhao-Xing], Deng, Z.L.[Zhi-Liang], Sun, J.G.[Ji-Guang],
Extended-Sampling-Bayesian Method for Limited Aperture Inverse Scattering Problems,
SIIMS(13), No. 1, 2020, pp. 422-444.
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Shahmansoori, A., Uguen, B., Destino, G., Seco-Granados, G., Wymeersch, H.,
Tracking Position and Orientation Through Millimeter Wave Lens MIMO in 5G Systems,
SPLetters(26), No. 8, August 2019, pp. 1222-1226.
IEEE DOI 1908
5G mobile communication, direction-of-arrival estimation, lens antennas, millimetre wave antenna arrays, heuristic beam selection BibRef

Adler, A., Wax, M.,
Blind Constant Modulus Multiuser Detection via Low-Rank Approximation,
SPLetters(26), No. 9, September 2019, pp. 1290-1294.
IEEE DOI 1909
approximation theory, blind source separation, code division multiple access, communication complexity, semidefinite programming BibRef

Shi, Y., Mao, X., Zhao, C., Liu, Y.,
Underdetermined DOA Estimation for Wideband Signals via Joint Sparse Signal Reconstruction,
SPLetters(26), No. 10, October 2019, pp. 1541-1545.
IEEE DOI 1909
Covariance matrices, Wideband, Dictionaries, Direction-of-arrival estimation, Estimation, iterative minimization BibRef

Wu, L., Liu, Z., Huang, Z.,
Deep Convolution Network for Direction of Arrival Estimation With Sparse Prior,
SPLetters(26), No. 11, November 2019, pp. 1688-1692.
IEEE DOI 1911
Direction-of-arrival estimation, Estimation, Training, Convolution, Signal to noise ratio, Deep learning, sparse representation BibRef

Setayesh, A.[Alireza], Yazdian, E.[Ehsan], Malek-Mohammadi, M.[Mohammadreza],
Direction of arrival estimation with missing data via matrix completion,
SIViP(13), No. 7, October 2019, pp. 1451-1459.
Springer DOI 1911
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Zheng, Z., Huang, Y., Wang, W., So, H.C.,
Spatial Smoothing PAST Algorithm for DOA Tracking Using Difference Coarray,
SPLetters(26), No. 11, November 2019, pp. 1623-1627.
IEEE DOI 1911
Signal processing algorithms, Direction-of-arrival estimation, Radar tracking, Heuristic algorithms, Signal to noise ratio, SS-PAST BibRef

Zhu, H.[Hang], Shen, J.J.[Jian-Jun], Dai, Z.[Zheng], Song, W.[Wei], Chang, Z.X.[Zhong-Xiang],
Single-channel source separation and parameters estimation of multi-component BPSK/QPSK signal based on 3-D EVR spectrum and wavelet analysis,
SIViP(13), No. 8, November 2019, pp. 1649-1656.
Springer DOI 1911
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Qin, Y.H.[Yan-Hua], Liu, Y.M.[Yu-Min], Yu, Z.Y.[Zhong-Yuan],
Underdetermined DOA estimation using coprime array via multiple measurement sparse Bayesian learning,
SIViP(13), No. 7, October 2019, pp. 1311-1318.
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Naghsh, E., Sabahi, M.F., Beheshti, S.,
Joint Preprocessing of Multiple Datasets to Enhance Source Separation,
SPLetters(26), No. 12, December 2019, pp. 1917-1921.
IEEE DOI 2001
Signal processing algorithms, Signal to noise ratio, Blind source separation, Data preprocessing, independent component analysis BibRef

Yang, Y., Gao, F., Qian, C., Liao, G.,
Model-Aided Deep Neural Network for Source Number Detection,
SPLetters(27), 2020, pp. 91-95.
IEEE DOI 2001
Eigenvalues and eigenfunctions, Covariance matrices, Signal to noise ratio, Training, Neural networks, Testing, coherent sources BibRef

Xi, Z.F.[Zai-Fang], Zhang, W.[Wei],
DOA estimation and self-calibration in partially calibrated subarray-based uniform linear arrays,
SIViP(14), No. 2, March 2020, pp. 233-239.
WWW Link. 2003
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Serbes, A., Qaraqe, K.,
A Fast Method for Estimating Frequencies of Multiple Sinusoidals,
SPLetters(27), 2020, pp. 386-390.
IEEE DOI 2004
Multiple frequency estimation, fourier transform, fast frequency estimation, direction of arrival BibRef

Zheng, Z., Huang, Y., Wang, W., So, H.C.,
Direction-of-Arrival Estimation of Coherent Signals via Coprime Array Interpolation,
SPLetters(27), 2020, pp. 585-589.
IEEE DOI 2005
Covariance matrices, Direction-of-arrival estimation, Signal processing algorithms, Interpolation, Sensor arrays, Toeplitz matrix BibRef

Guo, Y., Zhang, Z., Huang, Y., Zhang, P.,
DOA Estimation Method Based on Cascaded Neural Network for Two Closely Spaced Sources,
SPLetters(27), 2020, pp. 570-574.
IEEE DOI 2005
Direction-of-arrival estimation, Signal to noise ratio, Neural networks, Covariance matrices, direction of arrival estimation (DOA) BibRef

Ren, S., Dong, W., Li, X., Wang, W., Li, X.,
Extended Nested Arrays for Consecutive Virtual Aperture Enhancement,
SPLetters(27), 2020, pp. 575-579.
IEEE DOI 2005
Sensor arrays, Array signal processing, Smoothing methods, Direction-of-arrival estimation, Covariance matrices, Manifolds, sparse nested array BibRef

Li, S., Zhang, X.,
A New Approach to Construct Virtual Array With Increased Degrees of Freedom for Moving Sparse Arrays,
SPLetters(27), 2020, pp. 805-809.
IEEE DOI 2006
Array signal processing, Apertures, Sensor arrays, Direction-of-arrival estimation, Estimation, Covariance matrices, BibRef

He, J., Li, L., Shu, T.,
Localization of Near-Field Sources for Exact Source-Sensor Spatial Geometry,
SPLetters(27), 2020, pp. 1040-1044.
IEEE DOI 2007
Sensor arrays, Signal processing algorithms, Estimation, Geometry, Approximation algorithms, Uncertainty, Array signal processing, cumulant BibRef

Shi, J., Wang, G., Jin, L.,
Least Squared Relative Error Estimator for RSS Based Localization With Unknown Transmit Power,
SPLetters(27), 2020, pp. 1165-1169.
IEEE DOI 2007
Source localization, received signal strength (RSS), least squared relative error (LSRE), semidefinite programming (SDP) BibRef

Zheng, Z., Yang, C., Wang, W., So, H.C.,
Robust DOA Estimation Against Mutual Coupling With Nested Array,
SPLetters(27), 2020, pp. 1360-1364.
IEEE DOI 2008
Mutual coupling, Direction-of-arrival estimation, Estimation, Covariance matrices, Sensor arrays, Manifolds, DOA estimation, joint sparse recovery BibRef

Zhao, C.[Chen], Chen, Z.[Zezong], Li, J.[Jian], Ding, F.[Fan], Huang, W.M.[Wei-Min], Fan, L.[Lingang],
Validation and Evaluation of a Ship Echo-Based Array Phase Manifold Calibration Method for HF Surface Wave Radar DOA Estimation and Current Measurement,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Paik, J.W.[Ji Woong], Hong, W.[Wooyoung], Lee, J.H.[Joon-Ho],
Direction-of-Departure and Direction-of-Arrival Estimation Algorithm Based on Compressive Sensing: Data Fitting,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Chen, T., Shi, L., Guo, L.,
Gridless Direction of Arrival Estimation Exploiting Sparse Linear Array,
SPLetters(27), 2020, pp. 1625-1629.
IEEE DOI 2010
Direction-of-arrival estimation, Arrays, Estimation, Signal processing algorithms, Covariance matrices, Optimization, matrix completion BibRef

Emura, S., Sawada, H., Araki, S., Harada, N.,
Multi-Delay Sparse Approach to Residual Crosstalk Reduction for Blind Source Separation,
SPLetters(27), 2020, pp. 1630-1634.
IEEE DOI 2010
Crosstalk, Frequency-domain analysis, Microphones, Optimization, Time-domain analysis, Reverberation, Blind source separation, ADMM BibRef

Xiong, C.[Chao], Fan, C.Y.[Chong-Yi], Huang, X.T.[Xiao-Tao],
Time Reversal Linearly Constrained Minimum Power Algorithm for Direction of Arrival Estimation in Diffuse Multipath Environments,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Jiang, G., Mao, X.P., Liu, Y.T.,
Underdetermined DOA Estimation via Covariance Matrix Completion for Nested Sparse Circular Array in Nonuniform Noise,
SPLetters(27), 2020, pp. 1824-1828.
IEEE DOI 2011
Covariance matrices, Direction-of-arrival estimation, Estimation, Sensor arrays, Signal processing algorithms, covariance matrix completion BibRef

Masuyama, Y., Yatabe, K., Nagatomo, K., Oikawa, Y.,
Joint Amplitude and Phase Refinement for Monaural Source Separation,
SPLetters(27), 2020, pp. 1939-1943.
IEEE DOI 2011
Time-domain analysis, Spectrogram, Optimization, Convex functions, Source separation, Time-frequency analysis, alpha-beta divergences BibRef

Tian, L., Xu, C., Chen, D., He, D., Truong, T.K.,
Enhancing mmWave DOA Estimation by Cumulative Power Gradient At Low SNR,
SPLetters(27), 2020, pp. 1974-1978.
IEEE DOI 2011
Direction-of-arrival estimation, Estimation, Array signal processing, Signal to noise ratio, Radio frequency, angular power gradient BibRef

Nugraha, A.A., Sekiguchi, K., Fontaine, M., Bando, Y., Yoshii, K.,
Flow-Based Independent Vector Analysis for Blind Source Separation,
SPLetters(27), 2020, pp. 2173-2177.
IEEE DOI 2012
Noise measurement, Blind source separation, Time-frequency analysis, Probability distribution, Optimization, independent vector analysis BibRef

Soubies, E., Chinatto, A., Larzabal, P., Romano, J.M.T., Blanc-Féraud, L.,
Direction-of-Arrival Estimation Through Exact Continuous l2,0-Norm Relaxation,
SPLetters(28), 2021, pp. 16-20.
IEEE DOI 2101
Estimation, Direction-of-arrival estimation, Optimization, Antenna arrays, Signal processing algorithms, Sparse matrices, MMV-sparse optimization BibRef

Ma, P., Li, J., Xu, F., Zhang, X.,
Hole-Free Coprime Array for DOA Estimation: Augmented Uniform Co-Array,
SPLetters(28), 2021, pp. 36-40.
IEEE DOI 2101
Sensor arrays, Sensors, Manganese, Array signal processing, Mutual coupling, Estimation, Direction-of-arrival estimation, uniform degree of freedom BibRef

Lordelo, C., Benetos, E., Dixon, S., Ahlbäck, S., Ohlsson, P.,
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation,
SPLetters(28), 2021, pp. 81-85.
IEEE DOI 2101
Training, Task analysis, Source separation, Multiple signal classification, Harmonic analysis, Data models, transfer learning BibRef

Pallotta, L., Giunta, G., Farina, A.,
DOA Refinement Through Complex Parabolic Interpolation of a Sparse Recovered Signal,
SPLetters(28), 2021, pp. 274-278.
IEEE DOI 2102
Interpolation, Direction-of-arrival estimation, Estimation, Interference, Radar, Radar antennas, Azimuth, DOA estimation, radar, sparse recovery BibRef

Ma, X., Ballal, T., Chen, H., Aldayel, O., Al-Naffouri, T.Y.,
A Maximum-Likelihood TDOA Localization Algorithm Using Difference-of-Convex Programming,
SPLetters(28), 2021, pp. 309-313.
IEEE DOI 2102
Linear programming, Location awareness, Convex functions, Maximum likelihood estimation, Programming, Position measurement, convex-concave BibRef

Bhanot, A., Meillier, C., Heitz, F., Harsan, L.,
Spatially Constrained Online Dictionary Learning for Source Separation,
IP(30), 2021, pp. 3217-3228.
IEEE DOI 2103
Functional magnetic resonance imaging, Spatial resolution, Machine learning, Hyperspectral imaging, Optimization, Astronomy, hyperspectral data BibRef

Cheng, G., Liao, L., Chen, H., Lu, J.,
Semi-Blind Source Separation for Nonlinear Acoustic Echo Cancellation,
SPLetters(28), 2021, pp. 474-478.
IEEE DOI 2103
Numerical models, Adaptation models, Signal processing algorithms, Adaptive filters, Echo cancellers, semi-blind source separation BibRef

Fu, M., Zheng, Z., Wang, W.Q., So, H.C.,
Coarray Interpolation for DOA Estimation Using Coprime EMVS Array,
SPLetters(28), 2021, pp. 548-552.
IEEE DOI 2103
Sensors, Direction-of-arrival estimation, Sensor arrays, Estimation, Covariance matrices, Interpolation, Electromagnetics, direction-of-arrival (DOA) estimation BibRef

Zhu, X.Y.[Xiao-Yu], Dong, H.[Hefeng], Rossi, P.S.[Pierluigi Salvo], Landrø, M.[Martin],
Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Barthelme, A.[Andreas], Utschick, W.[Wolfgang],
DoA Estimation Using Neural Network-Based Covariance Matrix Reconstruction,
SPLetters(28), 2021, pp. 783-787.
IEEE DOI 2105
Covariance matrices, Artificial neural networks, Direction-of-arrival estimation, Estimation, Antennas, covariance matrix reconstruction BibRef

Mao, Z.[Zhi], Su, H.T.[Hong-Tao], He, B.[Bin], Jing, X.C.[Xin-Chen],
Moving Source Localization in Passive Sensor Network With Location Uncertainty,
SPLetters(28), 2021, pp. 823-827.
IEEE DOI 2105
BibRef

Ikeshita, R.[Rintaro], Nakatani, T.[Tomohiro],
Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation,
SPLetters(28), 2021, pp. 972-976.
IEEE DOI 2106
Signal processing algorithms, Noise measurement, Matrix decomposition, Reverberation, Computational modeling, block coordinate descent method BibRef

Yadav, S.K.[Shekhar Kumar], George, N.V.[Nithin V.],
Underdetermined Direction-of-Arrival Estimation Using Sparse Circular Arrays on a Rotating Platform,
SPLetters(28), 2021, pp. 862-866.
IEEE DOI 2106
Sensor arrays, Direction-of-arrival estimation, Covariance matrices, Azimuth, Array signal processing, Estimation, nested sparse circular array BibRef

Zhang, R.[Rui], Chen, J.[Junting], Xie, Y.[Yao], Shapiro, A.[Alexander], Mitra, U.[Urbashi],
Testing Rank of Incomplete Unimodal Matrices,
SPLetters(28), 2021, pp. 877-881.
IEEE DOI 2106
Mathematical model, Signal processing algorithms, Optimized production technology, Location awareness, Detectors, statistical hypothesis testing BibRef

Park, C.H.[Chee-Hyun], Chang, J.H.[Joon-Hyuk],
Robust Localization Employing Weighted Least Squares Method Based on MM Estimator and Kalman Filter With Maximum Versoria Criterion,
SPLetters(28), 2021, pp. 1075-1079.
IEEE DOI 2106
Kalman filters, Location awareness, Signal processing algorithms, Sensors, Indexes, Prediction algorithms, Covariance matrices, versoria function BibRef

Xiao, M.L.[Man-Lin], Duan, Z.B.[Zhi-Bo], Yang, Z.L.[Zheng-Long],
A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT,
IEICE(E104-D), No. 6, June 2021, pp. 881-884.
WWW Link. 2106
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Xiong, W.X.[Wen-Xin], Schindelhauer, C.[Christian], So, H.C.[Hing Cheung], Schott, D.J.[Dominik Jan], Rupitsch, S.J.[Stefan Johann],
Robust TDOA Source Localization Based on Lagrange Programming Neural Network,
SPLetters(28), 2021, pp. 1090-1094.
IEEE DOI 2106
Location awareness, Neurons, Signal processing algorithms, Sensors, Neurodynamics, Complexity theory, Neural networks, locally competitive algorithm BibRef

Liang, Y.[Yibao], Cui, W.[Wei], Shen, Q.[Qing], Liu, W.[Wei], Wu, H.T.[Han-Tian],
Cramér-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs,
SPLetters(28), 2021, pp. 1210-1214.
IEEE DOI 2106
Estimation, Direction-of-arrival estimation, Frequency estimation, Time-frequency analysis, Signal resolution, underdetermined BibRef

Zhang, R.[Rui], Xu, K.[Kaijie], Quan, Y.H.[Ying-Hui], Zhu, S.Q.[Sheng-Qi], Xing, M.D.[Meng-Dao],
Signal Subspace Reconstruction for DOA Detection Using Quantum-Behaved Particle Swarm Optimization,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Yuan, Y.[Ye], Wu, S.[Shuang], Wu, M.J.[Min-Jie], Yuan, N.C.[Nai-Chang],
Unsupervised Learning Strategy for Direction-of-Arrival Estimation Network,
SPLetters(28), 2021, pp. 1450-1454.
IEEE DOI 2108
Estimation, Direction-of-arrival estimation, Training, Optimization, Unsupervised learning, Neural networks, unsupervised learning BibRef

Lin, T.[Tian], Zhou, X.[Xuemeng], Zhu, Y.[Yu], Jiang, Y.[Yi],
Hybrid Beamforming Optimization for DOA Estimation Based on the CRB Analysis,
SPLetters(28), 2021, pp. 1490-1494.
IEEE DOI 2108
Hybrid beamforming, Cramér-Rao bound, direction-of-arrival estimation, manifold optimization BibRef

Zheng, H.[Hang], Shi, Z.G.[Zhi-Guo], Zhou, C.[Chengwei], Haardt, M.[Martin], Chen, J.[Jian],
Coupled Coarray Tensor CPD for DOA Estimation With Coprime L-Shaped Array,
SPLetters(28), 2021, pp. 1545-1549.
IEEE DOI 2108
Tensors, Estimation, Direction-of-arrival estimation, Array signal processing, Sensor arrays, Antenna arrays, Geometry, DOA estimation BibRef

Einizade, A.[Aref], Sardouie, S.H.[Sepideh Hajipour], Shamsollahi, M.B.[Mohammad B.],
Simultaneous Graph Learning and Blind Separation of Graph Signal Sources,
SPLetters(28), 2021, pp. 1495-1499.
IEEE DOI 2108
Linear programming, Covariance matrices, Blind source separation, Correlation, Symmetric matrices, Optimization, Tools, optimization BibRef

Bando, Y.[Yoshiaki], Sekiguchi, K.[Kouhei], Masuyama, Y.[Yoshiki], Nugraha, A.A.[Aditya Arie], Fontaine, M.[Mathieu], Yoshii, K.[Kazuyoshi],
Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation,
SPLetters(28), 2021, pp. 1670-1674.
IEEE DOI 2109
Training, Predictive models, Decoding, Reverberation, Neural networks, Computational modeling, Analytical models, variational autoencoders BibRef

Wu, H.T.[Han-Tian], Shen, Q.[Qing], Cui, W.[Wei], Liu, W.[Wei],
DOA Estimation With Nonuniform Moving Sampling Scheme Based on a Moving Platform,
SPLetters(28), 2021, pp. 1714-1718.
IEEE DOI 2109
Sensor arrays, Sensors, Estimation, Direction-of-arrival estimation, Complexity theory, nonuniform moving sampling scheme BibRef

Wang, Q.[Qisen], Yu, H.[Hua], Li, J.[Jie], Ji, F.[Fei], Chen, F.J.[Fang-Jiong],
Sparse Bayesian Learning Using Generalized Double Pareto Prior for DOA Estimation,
SPLetters(28), 2021, pp. 1744-1748.
IEEE DOI 2109
Economic indicators, Estimation, Direction-of-arrival estimation, Bayes methods, Convergence, Signal processing algorithms, sparse Bayesian learning BibRef

Lou, Y.[Yi], Qiao, G.[Gang], Qu, X.H.[Xing-Hao], Zhou, F.[Feng],
Computationally Efficient Two-Dimensional DOA Estimation Algorithm Based on Quaternion Theory,
SPLetters(28), 2021, pp. 1764-1768.
IEEE DOI 2109
Quaternions, Computational modeling, Direction-of-arrival estimation, Signal processing algorithms, orthogonal propagator method BibRef

Chen, P.[Peng], Yang, Z.[Zihan], Chen, Z.M.[Zhi-Min], Guo, Z.[Ziyu],
Reconfigurable Intelligent Surface Aided Sparse DOA Estimation Method With Non-ULA,
SPLetters(28), 2021, pp. 2023-2027.
IEEE DOI 2110
Direction-of-arrival estimation, Estimation, Atomic measurements, Simulation, Sparse matrices, Q measurement, Optimization, non-uniform linear array BibRef

Chen, Y.P.[Yuan-Pon], Liu, C.L.[Chun-Lin],
On the Size and Redundancy of the Fourth-Order Difference Co-Array,
SPLetters(28), 2021, pp. 2013-2017.
IEEE DOI 2110
Sensor arrays, Redundancy, Upper bound, Direction-of-arrival estimation, Sensors, Geometry, Estimation, exponential arrays BibRef

Lu, D.[Da], Duan, R.[Rui], Yang, K.[Kunde],
Closed-Form Hybrid Cramer-Rao Bound for DOA Estimation by an Acoustic Vector Sensor Under Orientation Deviation,
SPLetters(28), 2021, pp. 2033-2037.
IEEE DOI 2111
Estimation, Direction-of-arrival estimation, Acoustics, Cramer-Rao bounds, Acoustic measurements, Data models, orientation deviation BibRef

Li, C.H.[Chen-Hui], Zhen, J.[Jie], Chang, K.L.[Kang-Long], Xu, A.[Aigong], Zhu, H.Z.[Hui-Zhong], Wu, J.X.[Jian-Xin],
An Indoor Positioning and Tracking Algorithm Based on Angle-of-Arrival Using a Dual-Channel Array Antenna,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Sarangi, P.[Pulak], Hücümenoglu, M.C.[Mehmet Can], Pal, P.[Piya],
Beyond Coarray MUSIC: Harnessing the Difference Sets of Nested Arrays With Limited Snapshots,
SPLetters(28), 2021, pp. 2172-2176.
IEEE DOI 2112
Multiple signal classification, Covariance matrices, Sensor arrays, Signal to noise ratio, direction-of-arrival estimation BibRef

Smith, J.D.[Jonathan D.], Azizzadenesheli, K.[Kamyar], Ross, Z.E.[Zachary E.],
EikoNet: Solving the Eikonal Equation With Deep Neural Networks,
GeoRS(59), No. 12, December 2021, pp. 10685-10696.
IEEE DOI 2112
Mathematical model, Training, Receivers, Neural networks, Computational modeling, Position measurement, Deep learning, travel time BibRef

Kervazo, C.[Christophe], Gillis, N.[Nicolas], Dobigeon, N.[Nicolas],
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures,
SIIMS(14), No. 4, 2021, pp. 1848-1889.
DOI Link 2112
BibRef

Li, W.[Wei], Schotland, J.C.[John C.], Yang, Y.[Yang], Zhong, Y.M.[Yi-Min],
An Acousto-electric Inverse Source Problem,
SIIMS(14), No. 4, 2021, pp. 1601-1616.
DOI Link 2112
BibRef

Wan, Z.Y.[Zheng-Yu], Liu, W.[Wei],
Time-Domain Wideband DOA Estimation Under the Convolutional Sparse Coding Framework,
SPLetters(29), 2022, pp. 274-278.
IEEE DOI 2202
Direction-of-arrival estimation, Wideband, Estimation, Time-domain analysis, Discrete Fourier transforms, Convolution, time domain BibRef

Peng, Z.[Zhe], Ding, Y.T.[Ying-Tao], Ren, S.[Shiwei], Wu, H.X.[Hai-Xia], Wang, W.J.[Wei-Jiang],
Coprime Nested Arrays for DOA Estimation: Exploiting the Nesting Property of Coprime Array,
SPLetters(29), 2022, pp. 444-448.
IEEE DOI 2202
Sensor arrays, Mutual coupling, Array signal processing, Prototypes, Direction-of-arrival estimation, Sparse matrices, mutual coupling BibRef

Mao, Z.[Zihuan], Liu, S.[Shengheng], Qin, S.[Si], Huang, Y.M.[Yong-Ming],
Cramer-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Liu, L.[Lutao], Rao, Z.[Zejing],
An Adaptive Lp Norm Minimization Algorithm for Direction of Arrival Estimation,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Liao, K.[Kefei], Yu, Z.[Zerui], Xie, N.[Ningbo], Jiang, J.Z.[Jun-Zheng],
Joint Estimation of Azimuth and Distance for Far-Field Multi Targets Based on Graph Signal Processing,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Delbari, M.[Mohamadreza], Javaheri, A.[Amirhossein], Zayyani, H.[Hadi], Marvasti, F.[Farrokh],
Non-Coherent DOA Estimation via Majorization-Minimization Using Sign Information,
SPLetters(29), No. 2022, pp. 892-896.
IEEE DOI 2204
Direction-of-arrival estimation, Estimation, Signal processing algorithms, Signal to noise ratio, sparse recovery BibRef

Huang, J.[Jiyan], Liu, C.Y.[Chao-Yang], Hu, W.[Wei], Liao, K.[Kuo],
Design of a Grating Lobes-Free Architecture for Distributed Sensor System with Arbitrary Element Spacing,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Lu, Q.[Qiang], Han, Q.L.[Qing-Long], Peng, D.L.[Dong-Liang], Choi, Y.J.[Young-Jin],
Decision and Event-Based Fixed-Time Consensus Control for Electromagnetic Source Localization,
Cyber(52), No. 4, April 2022, pp. 2186-2199.
IEEE DOI 2204
Electromagnetics, Multi-agent systems, Robot kinematics, Convergence, Multi-robot systems, Real-time systems, multiple mobile robots BibRef

Du, Y.C.[Yi-Cheng], Scheibler, R.[Robin], Togami, M.[Masahito], Yoshii, K.[Kazuyoshi], Kawahara, T.[Tatsuya],
Computationally-Efficient Overdetermined Blind Source Separation Based on Iterative Source Steering,
SPLetters(29), 2022, pp. 927-931.
IEEE DOI 2205
Signal processing algorithms, IP networks, Iterative algorithms, Blind source separation, Parameter estimation, Microphones, fast algorithm BibRef

Liu, X.Y.[Xiao-Yu], Wang, T.[Tong], Chen, J.[Jinming], Wu, J.X.[Jian-Xin],
Joint Source Localization and Sensor Position Refinement With Extra Inter-Sensor Information,
SPLetters(29), 2022, pp. 1107-1111.
IEEE DOI 2205
Location awareness, Receivers, Position measurement, Noise measurement, Measurement uncertainty, Mathematical models, time delay (TD) BibRef

Guo, X.C.[Xing-Chen], Xu, X.[Xuexin], Chen, X.Q.[Xun-Quan], Chen, J.H.[Jin-Hui], Jia, R.[Rong], Zhang, Z.H.[Zhi-Hong], Takiguchi, T.[Tetsuya], Hancock, E.R.[Edwin R.],
Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone,
PR(129), 2022, pp. 108715.
Elsevier DOI 2206
Gaussian mixture model (GMM), Acoustic transfer function (ATF), Talker localization BibRef

Zhang, X.[Xue], Zheng, Z.[Zhi], Wang, W.Q.[Wen-Qin], So, H.C.[Hing Cheung],
DOA Estimation of Coherent Sources Using Coprime Array via Atomic Norm Minimization,
SPLetters(29), 2022, pp. 1312-1316.
IEEE DOI 2206
Covariance matrices, Direction-of-arrival estimation, Signal processing algorithms, Estimation, Minimization, interpolation BibRef

Wu, X.H.[Xiao-Huan], Yang, X.[Xu], Jia, X.Y.[Xiao-Yuan], Tian, F.[Feng],
A Gridless DOA Estimation Method Based on Convolutional Neural Network With Toeplitz Prior,
SPLetters(29), 2022, pp. 1247-1251.
IEEE DOI 2206
Direction-of-arrival estimation, Estimation, Covariance matrices, Training, Databases, Convolutional neural networks, Task analysis, Toeplitz structure BibRef

Ruan, H.X.[Hao-Xin], Lei, T.[Tong], Chen, K.[Kai], Lu, J.[Jing],
An Explicit Connection Between Independent Vector Analysis and Tensor Decomposition in Blind Source Separation,
SPLetters(29), 2022, pp. 1277-1281.
IEEE DOI 2206
Tensors, Covariance matrices, Cost function, Analytical models, Signal processing algorithms, Numerical models, Indexes, tensor decomposition BibRef

Majumder, S.[Sagnik], Al-Halah, Z.[Ziad], Grauman, K.[Kristen],
Move2Hear: Active Audio-Visual Source Separation,
ICCV21(275-285)
IEEE DOI 2203
Solid modeling, Source separation, Robot vision systems, Reinforcement learning, Ear, Vision + other modalities, Vision for robotics and autonomous vehicles BibRef

Buchanan, C.[Caleb], Bi, Y.[Ying], Xue, B.[Bing], Vennell, R.[Ross], Childerhouse, S.[Simon], Pine, M.K.[Matthew K.], Briscoe, D.[Dana], Zhang, M.J.[Meng-Jie],
Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks,
IVCNZ21(1-6)
IEEE DOI 2201
BibRef