JOINT ESTIMATION OF DOA AND MUTUAL COUPLING FOR WIDEBAND SIGNALS VIA BLOCK MULTIPLE MEASUREMENT VECTORS

Xiaoyu Zhang; Haihong Tao; Jian Xie; Xiaowei Jiang

doi:10.1049/icp.2021.0737

JOINT ESTIMATION OF DOA AND MUTUAL COUPLING FOR WIDEBAND SIGNALS VIA BLOCK MULTIPLE MEASUREMENT VECTORS

Xiaoyu Zhang, Haihong Tao, Jian Xie, Xiaowei Jiang

School of Electronics and Information

Xidian University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Based on the structure of block joint sparsity, a wideband DOA estimation method is proposed in the presence of unknown mutual coupling. First, the wideband array signal model is established with the Toeplitz property of mutual coupling matrix for the uniform linear array. Next the block sparse recovery model of each sub-band frequency is transformed into the block multiple measurement vectors (BMMV) model of the whole wideband signal by focusing operation. Then, a novel BMMV algorithm is proposed. Finally, the proposed algorithm is used to realize the joint estimation of the wideband DOA and the mutual coupling matrix. Simulation results show the effectiveness and feasibility of the proposed algorithm.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	740-744
Number of pages	5
Volume	2020
Edition	9
ISBN (Electronic)	9781839535406
DOIs	https://doi.org/10.1049/icp.2021.0737
State	Published - 2020
Event	5th IET International Radar Conference, IET IRC 2020 - Virtual, Online Duration: 4 Nov 2020 → 6 Nov 2020

Conference

Conference	5th IET International Radar Conference, IET IRC 2020
City	Virtual, Online
Period	4/11/20 → 6/11/20

Keywords

BLOCK MULTIPLE MEASUREMENT VECTORS
MUTUAL COUPLING
WIDEBAND DOA ESTIMATION

Access to Document

10.1049/icp.2021.0737

Cite this

@inproceedings{970eb29319294bbdb450db7e295ac71b,

title = "JOINT ESTIMATION OF DOA AND MUTUAL COUPLING FOR WIDEBAND SIGNALS VIA BLOCK MULTIPLE MEASUREMENT VECTORS",

abstract = "Based on the structure of block joint sparsity, a wideband DOA estimation method is proposed in the presence of unknown mutual coupling. First, the wideband array signal model is established with the Toeplitz property of mutual coupling matrix for the uniform linear array. Next the block sparse recovery model of each sub-band frequency is transformed into the block multiple measurement vectors (BMMV) model of the whole wideband signal by focusing operation. Then, a novel BMMV algorithm is proposed. Finally, the proposed algorithm is used to realize the joint estimation of the wideband DOA and the mutual coupling matrix. Simulation results show the effectiveness and feasibility of the proposed algorithm.",

keywords = "BLOCK MULTIPLE MEASUREMENT VECTORS, MUTUAL COUPLING, WIDEBAND DOA ESTIMATION",

author = "Xiaoyu Zhang and Haihong Tao and Jian Xie and Xiaowei Jiang",

note = "Publisher Copyright: {\textcopyright} 2020 IET Conference Proceedings. All rights reserved.; 5th IET International Radar Conference, IET IRC 2020 ; Conference date: 04-11-2020 Through 06-11-2020",

year = "2020",

doi = "10.1049/icp.2021.0737",

language = "英语",

volume = "2020",

pages = "740--744",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

edition = "9",

}

TY - GEN

T1 - JOINT ESTIMATION OF DOA AND MUTUAL COUPLING FOR WIDEBAND SIGNALS VIA BLOCK MULTIPLE MEASUREMENT VECTORS

AU - Zhang, Xiaoyu

AU - Tao, Haihong

AU - Xie, Jian

AU - Jiang, Xiaowei

PY - 2020

Y1 - 2020

N2 - Based on the structure of block joint sparsity, a wideband DOA estimation method is proposed in the presence of unknown mutual coupling. First, the wideband array signal model is established with the Toeplitz property of mutual coupling matrix for the uniform linear array. Next the block sparse recovery model of each sub-band frequency is transformed into the block multiple measurement vectors (BMMV) model of the whole wideband signal by focusing operation. Then, a novel BMMV algorithm is proposed. Finally, the proposed algorithm is used to realize the joint estimation of the wideband DOA and the mutual coupling matrix. Simulation results show the effectiveness and feasibility of the proposed algorithm.

AB - Based on the structure of block joint sparsity, a wideband DOA estimation method is proposed in the presence of unknown mutual coupling. First, the wideband array signal model is established with the Toeplitz property of mutual coupling matrix for the uniform linear array. Next the block sparse recovery model of each sub-band frequency is transformed into the block multiple measurement vectors (BMMV) model of the whole wideband signal by focusing operation. Then, a novel BMMV algorithm is proposed. Finally, the proposed algorithm is used to realize the joint estimation of the wideband DOA and the mutual coupling matrix. Simulation results show the effectiveness and feasibility of the proposed algorithm.

KW - BLOCK MULTIPLE MEASUREMENT VECTORS

KW - MUTUAL COUPLING

KW - WIDEBAND DOA ESTIMATION

UR - http://www.scopus.com/inward/record.url?scp=85174658067&partnerID=8YFLogxK

U2 - 10.1049/icp.2021.0737

DO - 10.1049/icp.2021.0737

M3 - 会议稿件

AN - SCOPUS:85174658067

VL - 2020

SP - 740

EP - 744

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 5th IET International Radar Conference, IET IRC 2020

Y2 - 4 November 2020 through 6 November 2020

ER -

JOINT ESTIMATION OF DOA AND MUTUAL COUPLING FOR WIDEBAND SIGNALS VIA BLOCK MULTIPLE MEASUREMENT VECTORS

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Keywords

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