An iterative approach for sparse direction-of-arrival estimation in co-prime arrays with off-grid targets

详细信息    查看全文

• 作者：Fenggang Sun^a ; ^b ; ^{sunfg@sdau.edu.cn}Author Vitae ; Qihui Wu^a ; ^{wuqihui2014@sina.com}Author Vitae ; Youming Sun^a ; ^c ; ^{sunyouming10@163.com}Author Vitae ; Guoru Ding^a ; ^{dingguoru@gmail.com}Author Vitae ; Peng Lan^b ; ^{lanpeng@sdau.edu.cn}Author Vitae
• 关键词：DOA estimation ; Co-prime arrays ; Sparsity property ; Off-grid ; Iterative approach
• 刊名：Digital Signal Processing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：61
• 期：Complete
• 页码：35-42
• 全文大小：469 K
• 卷排序：61

文摘

This paper addresses the problem of direction of arrival (DOA) estimation by exploiting the sparsity enforced recovery technique for co-prime arrays, which can increase the degrees of freedom. To apply the sparsity based technique, the discretization of the potential DOA range is required and every target must fall on the predefined grid. Off-grid target can highly deteriorate the recovery performance. To the end, this paper takes the off-grid DOAs into account and reformulates the sparse recovery problem with unknown grid offset vector. By introducing a convex function majorizing the given objective function, an iterative approach is developed to gradually amend the offset vector to achieve final DOA estimation. Numerical simulations are provided to verify the effectiveness of the proposed method in terms of detection ability, resolution ability and root mean squared estimation error, as compared to the other state-of-the-art methods.