Optimization of Direction-of-arrival Estimation of Single Pressure Gradient Vector Hydrophone

doi:10.3969/j.issn.1000-1093.2014.03.008

Abstract

Abstract: The performance of direction-of-arrival (DOA) estimation of single pressure gradient vector hydrophone degrades rapidly when the diameter-wavelength ratio is more than 0.2. A modified MUSIC algorithm for single pressure gradient vector hydrophone is presented, which improves DOA estimation performance by optimizing the steering vector of the pressure gradient vector hydrophone. Simulation results indicate that the estimation performance of the MUSIC algorithm is better than that of the sound intensity method, and the modified MUSIC algorithm for single pressure gradient vector hydrophone has better estimation performance and robustness compared with MUSIC algorithm when the diameter-wavelength ratio is more than 0.2. The results of the lake trial powerfully testify the validity of the modified MUSIC algorithm for single pressure gradient vector hydrophone.

Key words: information processing, pressure gradient vector hydrophone, DOA estimation, MUSIC algorithm

CLC Number:

TB566

WANG Xu-hu， CHEN Jian-feng， HAN Jing， ZHANG Qun-fei. Optimization of Direction-of-arrival Estimation of Single Pressure Gradient Vector Hydrophone[J]. Acta Armamentarii, 2014, 35(3): 340-346.

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