Direction of arrival estimation with co-prime arrays via compressed sensing methods

Tianyi Jia, Haiyan Wang, Xiaohong Shen, Xingchen Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

24 引用 (Scopus)

摘要

In this paper, we consider the problem of direction of arrival (DOA) estimation with co-prime arrays via compressed sensing methods. A sparse signal recovery model based on the framework of co-prime array is presented. We propose to use OMP algorithm to efficiently implement the optimization procedure, which have a lower computational cost. The sparse recovery model of DOA estimation obeys the isotropy property and incoherence property. Therefore, by exploiting the RIPless theory in compressed sensing, we develop the upper bound of degrees of freedom (DOF) of the proposed model. The results establish a basic relationship between upper bound of DOF, the number of samplers and the probability of recovery. Numerical examples show the superiority of the proposed method in detection performance and estimation accuracy compared with the existing spatial smoothing MUSIC algorithm using co-prime arrays.

源语言英语
主期刊名OCEANS 2016 - Shanghai
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781467397247
DOI
出版状态已出版 - 3 6月 2016
活动OCEANS 2016 - Shanghai - Shanghai, 中国
期限: 10 4月 201613 4月 2016

出版系列

姓名OCEANS 2016 - Shanghai

会议

会议OCEANS 2016 - Shanghai
国家/地区中国
Shanghai
时期10/04/1613/04/16

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