Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept

Qing Shen; Wei Cui; Wei Liu; Siliang Wu; Yimin D. Zhang; Moeness G. Amin

doi:10.1016/j.sigpro.2016.07.022

Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept

Qing Shen, Wei Cui, Wei Liu^*, Siliang Wu, Yimin D. Zhang, Moeness G. Amin

^*此作品的通讯作者

信息与电子学院

科研成果: 期刊稿件 › 文章 › 同行评审

72 引用（Scopus）

摘要

A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity.

源语言	英语
页（从-至）	299-304
页数	6
期刊	Signal Processing
卷	130
DOI	https://doi.org/10.1016/j.sigpro.2016.07.022
出版状态	已出版 - 1 1月 2017

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title = "Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept",

abstract = "A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity.",

keywords = "Compressive sensing, DOA estimation, Difference co-array, Group sparsity, Off-Grid",

author = "Qing Shen and Wei Cui and Wei Liu and Siliang Wu and Zhang, {Yimin D.} and Amin, {Moeness G.}",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier B.V.",

year = "2017",

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doi = "10.1016/j.sigpro.2016.07.022",

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AU - Shen, Qing

AU - Cui, Wei

AU - Liu, Wei

AU - Wu, Siliang

AU - Zhang, Yimin D.

AU - Amin, Moeness G.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity.

AB - A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity.

KW - Compressive sensing

KW - DOA estimation

KW - Difference co-array

KW - Group sparsity

KW - Off-Grid

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DO - 10.1016/j.sigpro.2016.07.022

M3 - Article

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SN - 0165-1684

VL - 130

SP - 299

EP - 304

JO - Signal Processing

JF - Signal Processing

ER -

Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept

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