Performance analysis and DOA estimation method over acoustic vector sensor array in the presence of polarity inconsistency

2020 ◽  
Vol 31 (4) ◽  
pp. 1341-1364
Author(s):  
Weidong Wang ◽  
Qunfei Zhang ◽  
Wentao Shi ◽  
Weijie Tan
2019 ◽  
Vol 1237 ◽  
pp. 032054
Author(s):  
Yu Ao ◽  
Ling Wang ◽  
Ke Xu ◽  
Jianwei Wan ◽  
Jianghao Zhuo

2012 ◽  
Vol 92 (1) ◽  
pp. 19-28 ◽  
Author(s):  
P. Palanisamy ◽  
N. Kalyanasundaram ◽  
P.M. Swetha

2014 ◽  
Vol 22 (7) ◽  
pp. 1969-1975
Author(s):  
李新波 LI Xin-bo ◽  
李晓青 LI Xiao-qing ◽  
刘国君 LIU Guo-jun ◽  
石要武 SHI Yao-wu ◽  
杨志刚 YANG Zhi-gang

2016 ◽  
Vol 95 (2) ◽  
pp. 1285-1297 ◽  
Author(s):  
Sheng Liu ◽  
Lisheng Yang ◽  
Yuanju Xie ◽  
Yanhong Yin ◽  
Qingping Jiang

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Peng Wang ◽  
Yujun Kong ◽  
Mingxing Zhang

In this paper, the errors of acoustic vector sensor array are classified, the impact factor of each error for the array signal model is derived, and the influence of each type of error on the direction-of-arrival (DOA) estimation performance of the array is compared by Monte Carlo experiments. Converting the directional error and location error to amplitude and phase errors, the optimization model and error self-calibration algorithm for acoustic vector sensor array are proposed. The simulation experiments and field experiment data processing of MEMS vector sensor array show that the proposed self-calibration algorithm has good parameter estimation performance and certain engineering practicability.


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