Microphone Array Sound Source Direction-of-arrival Estimation Based on Distributed Compressed Sensing

doi:10.3969/j.issn.1000-1093.2019.08.023

Abstract

Abstract: Compressed sensing-orthogonal matching pursuit (CS-OMP) algorithm is to transform the sound source localization problem into a signal sparse reconstruction problem, which can obtain higher positioning performance than the traditional positioning algorithm. However, the CS-OMP algorithm does not consider the correlation of multiple signals in positioning. The distributed compressed sensing (DCS) theory is introduced into the sound source localization of microphone array. Considering the common sparsity between the signals, the distributed compressed sensing-simultaneous orthogonal matching pursuit (DCS-SOMP) algorithm is used to reconstructure the signals for constructing a sparse position and positioning the sound source. Simulated and experimental results show that the DCS-SOMP algorithm has better positioning performance and robustness in low SNR environment compared with the traditional positioning algorithm and CS-OMP algorithm. Key

Key words: microphonearray, soundsourcelocalization, distributedcompressedsensing, sparsesignal, jointreconstruction

CLC Number:

TN912.34

HUANG Huixiang， GUO Qiuhan， TONG Feng. Microphone Array Sound Source Direction-of-arrival Estimation Based on Distributed Compressed Sensing[J]. Acta Armamentarii, 2019, 40(8): 1725-1731.

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第40卷
第8期2019 年8月兵工学报ACTA
ARMAMENTARIIVol.40No.8Aug.2019