TY - GEN
T1 - LOCALIZING MORE SOURCES THAN SENSORS IN PRESENCE OF COHERENT SOURCES
AU - Chen, Xinyao
AU - Yang, Zai
N1 - Publisher Copyright:
© 2022 IEEE
PY - 2022
Y1 - 2022
N2 - DOA estimation with sparse linear arrays has been extensively studied, with an emphasis on localizing more sources than sensors. A critical assumption in previous studies however is that the sources are all uncorrelated. In this paper, we present an algorithm that is shown to be able to localize more sources than sensors in presence of correlated or coherent sources without the knowledge of the source coherence structure. Our algorithm is generalized from our recently proposed rank-constrained ADMM approach to maximum likelihood estimation for uncorrelated sources with a uniform linear array.
AB - DOA estimation with sparse linear arrays has been extensively studied, with an emphasis on localizing more sources than sensors. A critical assumption in previous studies however is that the sources are all uncorrelated. In this paper, we present an algorithm that is shown to be able to localize more sources than sensors in presence of correlated or coherent sources without the knowledge of the source coherence structure. Our algorithm is generalized from our recently proposed rank-constrained ADMM approach to maximum likelihood estimation for uncorrelated sources with a uniform linear array.
KW - Direction-of-arrival estimation
KW - coherent sources
KW - maximum likelihood estimation
KW - more sources than sensors
KW - rank-constrained ADMM
KW - sparse linear array
UR - https://www.scopus.com/pages/publications/85131243580
U2 - 10.1109/ICASSP43922.2022.9747249
DO - 10.1109/ICASSP43922.2022.9747249
M3 - 会议稿件
AN - SCOPUS:85131243580
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5013
EP - 5017
BT - 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022
Y2 - 22 May 2022 through 27 May 2022
ER -