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

Research output: Journal article publication › Journal article › Academic research › peer-review

45 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 - Dec 2016

Keywords

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

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

More information

10.1109/LSP.2016.2638880

Cite this

@article{c5ff802e4c9841aeacdf5dcffa4cb5b9,

title = "Focused compressive sensing for underdetermined wideband DOA estimation exploiting high-order difference coarrays",

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.",

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

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

note = "Publisher Copyright: {\textcopyright} 1994-2012 IEEE.",

year = "2016",

month = dec,

doi = "10.1109/LSP.2016.2638880",

language = "English",

volume = "24",

pages = "86--90",

journal = "IEEE Signal Processing Letters",

issn = "1070-9908",

publisher = "IEEE",

number = "1",

}

TY - JOUR

T1 - Focused compressive sensing for underdetermined wideband DOA estimation exploiting high-order difference coarrays

AU - Shen, Qing

AU - Liu, Wei

AU - Cui, Wei

AU - Wu, Siliang

AU - Zhang, Yimin D.

AU - Amin, Moeness G.

PY - 2016/12

Y1 - 2016/12

N2 - 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.

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.

KW - Compressive sensing (CS)

KW - direction of arrival (DOA) estimation

KW - focusing

KW - group sparsity (GS)

KW - high-order difference coarray

UR - http://www.scopus.com/inward/record.url?scp=85015232078&partnerID=8YFLogxK

U2 - 10.1109/LSP.2016.2638880

DO - 10.1109/LSP.2016.2638880

M3 - Journal article

AN - SCOPUS:85015232078

SN - 1070-9908

VL - 24

SP - 86

EP - 90

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 1

M1 - 7782330

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this