TY - GEN
T1 - DOA estimation for coherent sources in beamspace using spatial smoothing
AU - Yang, Yixin
AU - Wan, Chunru
AU - Sun, Chao
AU - Wang, Qing
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - Beamspace MUSIC (Multiple Signal Classification) algorithm is often used to solve the DOA (Direction of Arrival) estimation problem to take advantage of the benefits of beamspace operations, such as reduced computation complexity, reduced sensitivity to system errors, reduced resolution threshold, reduced bias in the estimate, and so on. However, this method will fail to work property when the source signals are coherent or strongly correlated, which are often encountered in sonar or radar environment. This paper uses the forward-backward spatial smoothing technique as the preprocessor of beamspace MUSIC for linear arrays, after which the coherence of the source signals can be removed in the covariance matrix. We show by computer simulation that the resolution of DOA estimation using beamspace MUSIC after spatial smoothing is better than using element space MUSIC after spatial smoothing. We also show that the beamspace MSUIC using spatial smoothing is more robust than element space MUSIC when there are system errors in the linear array.
AB - Beamspace MUSIC (Multiple Signal Classification) algorithm is often used to solve the DOA (Direction of Arrival) estimation problem to take advantage of the benefits of beamspace operations, such as reduced computation complexity, reduced sensitivity to system errors, reduced resolution threshold, reduced bias in the estimate, and so on. However, this method will fail to work property when the source signals are coherent or strongly correlated, which are often encountered in sonar or radar environment. This paper uses the forward-backward spatial smoothing technique as the preprocessor of beamspace MUSIC for linear arrays, after which the coherence of the source signals can be removed in the covariance matrix. We show by computer simulation that the resolution of DOA estimation using beamspace MUSIC after spatial smoothing is better than using element space MUSIC after spatial smoothing. We also show that the beamspace MSUIC using spatial smoothing is more robust than element space MUSIC when there are system errors in the linear array.
UR - http://www.scopus.com/inward/record.url?scp=40549114704&partnerID=8YFLogxK
U2 - 10.1109/ICICS.2003.1292615
DO - 10.1109/ICICS.2003.1292615
M3 - 会议稿件
AN - SCOPUS:40549114704
T3 - ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia
SP - 1028
EP - 1032
BT - ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia, ICICS-PCM 2003
Y2 - 15 December 2003 through 18 December 2003
ER -