Focused compressive sensing for underdetermined wideband DOA estimation exploiting high-order difference coarrays

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

doi:10.1109/LSP.2016.2638880

Focused compressive sensing for underdetermined wideband DOA estimation exploiting high-order difference coarrays

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

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

44 Citations (Scopus)

Abstract

Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wideband direction of arrival (DOA) estimation. For complexity reduction, a focused compressive-sensing-based approach is proposed, without sacrificing its performance. Different from the conventional focusing approach, in the proposed one, focusing is applied to the virtual arrays and no preliminary DOA estimation is required. Simulation results are provided to demonstrate the effectiveness of the proposed methods.

Original language	English
Article number	7782330
Pages (from-to)	86-90
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	24
Issue number	1
DOIs	https://doi.org/10.1109/LSP.2016.2638880
Publication status	Published - Jan 2017

Keywords

Compressive sensing (CS)
direction of arrival (DOA) estimation
focusing
group sparsity (GS)
high-order difference coarray

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10.1109/LSP.2016.2638880

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abstract = "Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wideband direction of arrival (DOA) estimation. For complexity reduction, a focused compressive-sensing-based approach is proposed, without sacrificing its performance. Different from the conventional focusing approach, in the proposed one, focusing is applied to the virtual arrays and no preliminary DOA estimation is required. Simulation results are provided to demonstrate the effectiveness of the proposed methods.",

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AU - Zhang, Yimin D.

AU - Amin, Moeness G.

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AB - Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wideband direction of arrival (DOA) estimation. For complexity reduction, a focused compressive-sensing-based approach is proposed, without sacrificing its performance. Different from the conventional focusing approach, in the proposed one, focusing is applied to the virtual arrays and no preliminary DOA estimation is required. Simulation results are provided to demonstrate the effectiveness of the proposed methods.

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KW - group sparsity (GS)

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Focused compressive sensing for underdetermined wideband DOA estimation exploiting high-order difference coarrays

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Keywords

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