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

Micromachines

Xiaoyong Zhang¹  Guojun Zhang¹  Peng Chen¹  Shan Zhu¹  Renxin Wang¹  Wendong Zhang¹  Zhenzhen Shang¹ 

[1] State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China;

关键词: MEMS;    vector hydrophone;    acoustic energy flux;    DOA;    maximum likelihood estimation;   

DOI  :  10.3390/mi12020168

来源: DOAJ

【 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.

【 授权许可】

Unknown