文章基本信息

标题：Passive Source Localization Using Compressively Sensed Towed Array
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作者：N. Suresh Kumar ; C. Bhattacharya ; A. Unnikrishnan 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2013
卷号：63
期号：6
页码：630-635
DOI：10.14429/dsj.63.5765
语种：English
出版社：Defence Scientific Information & Documentation Centre
摘要：The objective of this work is to estimate the sparse angular power spectrum using a towed acoustic pressure sensor (APS) array. In a passive towed array sonar, any reduction in the analog sensor signal conditioning receiver hardware housed inside the array tube, significantly improves the signal integrity and hence the localization performance. In this paper, a novel sparse acoustic pressure sensor (SAPS) array architecture is proposed to estimate the direction of arrival (DOA) of multiple acoustic sources. Bearing localization is effectively achieved by customizing the Capons spatial filter algorithm to suit the SAPS array architecture. Apart from the Monte Carlo simulations, the acoustic performance of the SAPS array with compressively sensed minimum variance distortionless response (CS-MVDR) filter is demonstrated using a real passive towed array data. The proposed sparse towed array architecture promises a significant reduction in the analog signal acquisition receiver hardware, transmission data rate, number of snapshots and software complexity. Defence Science Journal, 2013, 63(6), pp.630 -635 , DOI:http://dx.doi.org/10.14429/dsj.63.5765
关键词：Compressive beamforming, compressive sensing, DOA estimation, minimum variance distortionless response.