Author:
Zhang Xiaoyong,Zhang Guojun,Shang Zhenzhen,Zhu Shan,Chen Peng,Wang Renxin,Zhang Wendong
Abstract
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.
Funder
National Natural Science Foundation of China
National Key Research and Development Project
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering
Cited by
6 articles.
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