TY - GEN
T1 - Direction of arrival estimation based on improving signal spatial correlation
AU - Ye, Wang
AU - Tuo, Chen
AU - Chao, Sun
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - The acoustic signal propagation in underwater channels at long ranges will cause a loss in signal spatial correlation and lead to decrease in array processing gain. In this paper, the direction of arrival (DOA) estimation algorithm based on sparse reconstruction is studied. Compared to the conventional beamforming, the signal spatial correlation is simulated to be improved throughout the process of reconstruction and the DOA is accurately estimated. The algorithm is also effective in the presence of badly attenuated signal.
AB - The acoustic signal propagation in underwater channels at long ranges will cause a loss in signal spatial correlation and lead to decrease in array processing gain. In this paper, the direction of arrival (DOA) estimation algorithm based on sparse reconstruction is studied. Compared to the conventional beamforming, the signal spatial correlation is simulated to be improved throughout the process of reconstruction and the DOA is accurately estimated. The algorithm is also effective in the presence of badly attenuated signal.
KW - Direction-of-arrival estimation
KW - Signal spatial correlation
KW - Sparse reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85078913589&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC46631.2019.8960774
DO - 10.1109/ICSPCC46631.2019.8960774
M3 - 会议稿件
AN - SCOPUS:85078913589
T3 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
BT - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Y2 - 20 September 2019 through 22 September 2019
ER -