TY - GEN
T1 - Off-grid direction of arrival estimation based on acoustic vector sensor array
AU - Wang, Weidong
AU - Zhang, Qunfei
AU - Shi, Wentao
AU - Tan, Weijie
AU - Wang, Xuhu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - The off-grid phenomenon affects the accuracy of the direction of arrival (DOA) estimation when implementing the sparsity-based method for classical long vector acoustic vector sensor (LVAVS) array. To address this problem, an iterative alternating off-grid algorithm for LVAVS array is proposed. This algorithm formulates the off-grid model by introducing a bias parameter into the signal model of LVAVS array, and recoveries the joint sparsity signal and calculates the unknown bias parameter by iterative alternating way. Simulation experiments show that compared with the state-of-the-art algorithms, the proposed algorithm improves the DOA estimation accuracy in the presence of a coarse sample gird and has less computational cost.
AB - The off-grid phenomenon affects the accuracy of the direction of arrival (DOA) estimation when implementing the sparsity-based method for classical long vector acoustic vector sensor (LVAVS) array. To address this problem, an iterative alternating off-grid algorithm for LVAVS array is proposed. This algorithm formulates the off-grid model by introducing a bias parameter into the signal model of LVAVS array, and recoveries the joint sparsity signal and calculates the unknown bias parameter by iterative alternating way. Simulation experiments show that compared with the state-of-the-art algorithms, the proposed algorithm improves the DOA estimation accuracy in the presence of a coarse sample gird and has less computational cost.
KW - Acoustic vector sensor array
KW - Alternating iterative way
KW - Direction of arrival estimation
KW - Off-grid model
UR - http://www.scopus.com/inward/record.url?scp=85078938465&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC46631.2019.8960684
DO - 10.1109/ICSPCC46631.2019.8960684
M3 - 会议稿件
AN - SCOPUS:85078938465
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 -