TY - GEN
T1 - Comparative Study of Beamformers for a Single Acoustic Vector Sensor
AU - Lu, Da
AU - Li, Hui
AU - Yang, Kunde
AU - Xu, Zhezhen
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/5
Y1 - 2020/10/5
N2 - The acoustic vector sensor is a complete acoustic field measurement device and is widely used in underwater direction-of-arrival (DOA) estimation. The maximum likelihood (ML) estimator is optimal for two-dimensional DOA estimation. However, it requires prior knowledge of noise variances, which is not always available. Sometimes we pay more attention to DOA on the horizontal plane in applications such as remote localization, cases where vertical interference is present. To investigate the performance of ML estimator in such a one-dimensional DOA estimation problem, we make a comparison between ML estimator and several DOA estimation techniques under a framework of weighted beamforming. Performances of these estimators are evaluated by the approximate mean square error. Simulation results show that there is no significant performance difference between the CBF beamformer and the ML estimator within a moderate range of the ratio of acoustic pressure noise power to particle velocity noise power.
AB - The acoustic vector sensor is a complete acoustic field measurement device and is widely used in underwater direction-of-arrival (DOA) estimation. The maximum likelihood (ML) estimator is optimal for two-dimensional DOA estimation. However, it requires prior knowledge of noise variances, which is not always available. Sometimes we pay more attention to DOA on the horizontal plane in applications such as remote localization, cases where vertical interference is present. To investigate the performance of ML estimator in such a one-dimensional DOA estimation problem, we make a comparison between ML estimator and several DOA estimation techniques under a framework of weighted beamforming. Performances of these estimators are evaluated by the approximate mean square error. Simulation results show that there is no significant performance difference between the CBF beamformer and the ML estimator within a moderate range of the ratio of acoustic pressure noise power to particle velocity noise power.
KW - acoustic vector sensor
KW - array signal processing
KW - beamforming
KW - Cramer-Rao bound
KW - direction-of-arrival estimation
KW - maximum likelihood
UR - http://www.scopus.com/inward/record.url?scp=85104663521&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF38699.2020.9388995
DO - 10.1109/IEEECONF38699.2020.9388995
M3 - 会议稿件
AN - SCOPUS:85104663521
T3 - 2020 Global Oceans 2020: Singapore - U.S. Gulf Coast
BT - 2020 Global Oceans 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020
Y2 - 5 October 2020 through 30 October 2020
ER -