Sparse source localization using perturbed arrays via bi-affine modeling

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• 作者：Ali Koochakzadeh ; ^alik@umd.eduAuthor Vitae ; Piya Pal ^{pipal@eng.ucsd.edu}Author Vitae
• 关键词：Coprime sampling ; Co-array ; Bi-affine model ; Array perturbations ; Sparse source localization
• 刊名：Digital Signal Processing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：61
• 期：Complete
• 页码：15-25
• 全文大小：694 K
• 卷排序：61

文摘

A co-array model with perturbed sensor locations is considered. A novel self-calibration approach is proposed for underdetermined DOA estimation. Assuming small perturbations, and on-grid DOAs leads to a bi-affine model. Using coarray redundancies, the bi-affine model is reduced to a linear sparse model. Reductions are derived for both ULA, and a robust version of coprime arrays.