TY - JOUR
T1 - Direction finding via acoustic vector sensor array with non-orthogonal factors
AU - Wang, Weidong
AU - Zhang, Qunfei
AU - Tan, Weijie
AU - Shi, Wentao
AU - Pang, Feifei
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2021/1
Y1 - 2021/1
N2 - This paper addresses the direction of arrival (DOA) estimation via an acoustic vector sensor (AVS) array in the presence of non-orthogonal factors. To mitigate the estimation bias, which is caused by non-orthogonal factors, a novel DOA estimator is proposed by combining the iterative sparse maximum likelihood-based and maximum a posteriori (ISML-MAP) approaches. First, the two non-orthogonal AVS array models are formulated by introducing a perturbation parameter, based on which the DOA estimation bias is quantified for a single-source scenario. The results show that the non-orthogonal factor has a greater influence on the DOA estimation performance when the velocity sensor located in x-axis is selected as the reference sensor compared to the non-orthogonal AVS array model with the velocity sensor located in y-axis selected as the reference sensor. Then, the DOA of the acoustic source and the non-orthogonal deviation matrix (or angle deviation) are jointly estimated iteratively. In each iteration, three matrix rotation approaches are presented to determine the non-orthogonal deviation matrix. Simulation results demonstrated that the proposed methods achieve better DOA estimation performance than the existing methods for the non-orthogonal AVS array.
AB - This paper addresses the direction of arrival (DOA) estimation via an acoustic vector sensor (AVS) array in the presence of non-orthogonal factors. To mitigate the estimation bias, which is caused by non-orthogonal factors, a novel DOA estimator is proposed by combining the iterative sparse maximum likelihood-based and maximum a posteriori (ISML-MAP) approaches. First, the two non-orthogonal AVS array models are formulated by introducing a perturbation parameter, based on which the DOA estimation bias is quantified for a single-source scenario. The results show that the non-orthogonal factor has a greater influence on the DOA estimation performance when the velocity sensor located in x-axis is selected as the reference sensor compared to the non-orthogonal AVS array model with the velocity sensor located in y-axis selected as the reference sensor. Then, the DOA of the acoustic source and the non-orthogonal deviation matrix (or angle deviation) are jointly estimated iteratively. In each iteration, three matrix rotation approaches are presented to determine the non-orthogonal deviation matrix. Simulation results demonstrated that the proposed methods achieve better DOA estimation performance than the existing methods for the non-orthogonal AVS array.
KW - Acoustic vector sensor (AVS)
KW - Direction of arrival (DOA) estimation
KW - Matrix rotation
KW - Non-orthogonal deviation matrix
UR - http://www.scopus.com/inward/record.url?scp=85096229739&partnerID=8YFLogxK
U2 - 10.1016/j.dsp.2020.102910
DO - 10.1016/j.dsp.2020.102910
M3 - 文章
AN - SCOPUS:85096229739
SN - 1051-2004
VL - 108
JO - Digital Signal Processing: A Review Journal
JF - Digital Signal Processing: A Review Journal
M1 - 102910
ER -