Research on DOA Estimation Based on Acoustic Energy Flux Detection Using a Single MEMS Vector Hydrophone

被引：7

作者：

Zhang, Xiaoyong ^{[1
,2
]}

Zhang, Guojun ^{[1
]}

Shang, Zhenzhen ^{[1
]}

Zhu, Shan ^{[1
]}

Chen, Peng ^{[1
]}

Wang, Renxin ^{[1
]}

Zhang, Wendong ^{[1
]}

机构：

[1] North Univ China, State Key Lab Dynam Testing Technol, Taiyuan 030051, Peoples R China

[2] Taiyuan Univ, Dept Intelligence & Automat, Taiyuan 030032, Peoples R China

来源：

MICROMACHINES | 2021年 / 12卷 / 02期

基金：

中国国家自然科学基金;

关键词：

MEMS; vector hydrophone; acoustic energy flux; DOA; maximum likelihood estimation;

D O I：

10.3390/mi12020168

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The principle of acoustic energy flux detection method using a single micro electromechanical system (MEMS) vector hydrophone is analyzed in this paper. The probability distribution of acoustic energy flux and the weighted histogram algorithm are discussed. Then, an improved algorithm is proposed. Based on the algorithm, the distribution range of the energy is obtained by a sliding window, the energy center of gravity in the range is considered as the result of direction of arrival (DOA) estimation, and it is proved to be the maximum likelihood estimation of the target direction. The simulation results show that, with the signal to noise ratio (SNR) from -10 dB to 10 dB, the root mean square error (RMSE) of the improved algorithm is reduced by 47.8% on average, and is more accurate in the presence of interference. The experimental results of lake test are consistent with the theory analysis and simulation results.

引用

页数：18

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