DOA Estimation of Acoustic Vector Sensor Array Based on Multi-stage Wiener Filter

doi:10.3969/j.issn.1000-1093.2015.11.017

Abstract

Abstract: Traditional high-resolution DOA estimation algorithm for acoustic vector sensor array(AVSA) is computational intensive and difficult to realize in engineering. To solve this problem, a fast DOA estimation algorithm based on MSWF is proposed, which is also called V-MSWF. V-MSWF algorithm selects an output from sound pressure channel of reference array element of AVSA as its desired signal. The signal subspace can be achieved by MSWF recursively. V-MSWF algorithm does not need to calculate cross-covariance matrix and eigen-decomposition. It has a good performance for DOA estimation at high SNR. Computer simulation and experiment in anechoic water tank show the favorable performance of V-MSWF algorithm.

Key words: acoustics, array signal processing, DOA estimation, acoustic vector sensor array, multistage Wiener filter

CLC Number:

TN911.7

ZHANG Ke, CHENG Ju-ming, FU Jin. DOA Estimation of Acoustic Vector Sensor Array Based on Multi-stage Wiener Filter[J]. Acta Armamentarii, 2015, 36(11): 2128-2134.

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