Three dimensional compressive sensing in MIMO radar

Yaqi Liu; Yongquan Zhang; Jun Tang; Ning Zhang; Wei Zhu

doi:10.1109/ACSSC.2015.7421200

Three dimensional compressive sensing in MIMO radar

Yaqi Liu, Yongquan Zhang, Jun Tang, Ning Zhang, Wei Zhu

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

A compressive sensing based bistatic MIMO radar is proposed for joint direction of departure (DOD), direction of arrival (DOA) and Doppler frequency estimation, where random arrays are employed and the intervals between adjacent pulses are chosen randomly. A discretization mechanism for DOD- DOA-Doppler space is established. Under such a sparse framework, the least amount of random measurements required for faithful target parameter recovery is derived. The theoretical derivation indicates that a dramatic reduction in the number of measurements is attainable without degrading the estimation performance. Numerical results demonstrate the effectiveness of the framework as well as the recovery guarantees.

源语言	英语
主期刊名	Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
编辑	Michael B. Matthews
出版商	IEEE Computer Society
页	599-603
页数	5
ISBN（电子版）	9781467385763
DOI	https://doi.org/10.1109/ACSSC.2015.7421200
出版状态	已出版 - 26 2月 2016
已对外发布	是
活动	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, 美国期限: 8 11月 2015 → 11 11月 2015

出版系列

姓名	Conference Record - Asilomar Conference on Signals, Systems and Computers
卷	2016-February
ISSN（印刷版）	1058-6393

会议

会议	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
国家/地区	美国
市	Pacific Grove
时期	8/11/15 → 11/11/15

访问文件

10.1109/ACSSC.2015.7421200

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, Y., Zhang, Y., Tang, J., Zhang, N., & Zhu, W. (2016). Three dimensional compressive sensing in MIMO radar. 在 M. B. Matthews (编辑), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 (页码 599-603). 文章 7421200 (Conference Record - Asilomar Conference on Signals, Systems and Computers; 卷 2016-February). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2015.7421200

@inproceedings{81d8827234374f4e94b8ec200978b3b1,

title = "Three dimensional compressive sensing in MIMO radar",

abstract = "A compressive sensing based bistatic MIMO radar is proposed for joint direction of departure (DOD), direction of arrival (DOA) and Doppler frequency estimation, where random arrays are employed and the intervals between adjacent pulses are chosen randomly. A discretization mechanism for DOD- DOA-Doppler space is established. Under such a sparse framework, the least amount of random measurements required for faithful target parameter recovery is derived. The theoretical derivation indicates that a dramatic reduction in the number of measurements is attainable without degrading the estimation performance. Numerical results demonstrate the effectiveness of the framework as well as the recovery guarantees.",

keywords = "Compressive sensing, MIMO radar, parameter estimation, random measurements",

author = "Yaqi Liu and Yongquan Zhang and Jun Tang and Ning Zhang and Wei Zhu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",

year = "2016",

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day = "26",

doi = "10.1109/ACSSC.2015.7421200",

language = "English",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

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editor = "Matthews, {Michael B.}",

booktitle = "Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015",

address = "United States",

}

Liu, Y, Zhang, Y, Tang, J, Zhang, N & Zhu, W 2016, Three dimensional compressive sensing in MIMO radar. 在 MB Matthews (编辑), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015., 7421200, Conference Record - Asilomar Conference on Signals, Systems and Computers, 卷 2016-February, IEEE Computer Society, 页码 599-603, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, 美国, 8/11/15. https://doi.org/10.1109/ACSSC.2015.7421200

Three dimensional compressive sensing in MIMO radar. / Liu, Yaqi; Zhang, Yongquan; Tang, Jun 等.
Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. 编辑 / Michael B. Matthews. IEEE Computer Society, 2016. 页码 599-603 7421200 (Conference Record - Asilomar Conference on Signals, Systems and Computers; 卷 2016-February).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Three dimensional compressive sensing in MIMO radar

AU - Liu, Yaqi

AU - Zhang, Yongquan

AU - Tang, Jun

AU - Zhang, Ning

AU - Zhu, Wei

PY - 2016/2/26

Y1 - 2016/2/26

N2 - A compressive sensing based bistatic MIMO radar is proposed for joint direction of departure (DOD), direction of arrival (DOA) and Doppler frequency estimation, where random arrays are employed and the intervals between adjacent pulses are chosen randomly. A discretization mechanism for DOD- DOA-Doppler space is established. Under such a sparse framework, the least amount of random measurements required for faithful target parameter recovery is derived. The theoretical derivation indicates that a dramatic reduction in the number of measurements is attainable without degrading the estimation performance. Numerical results demonstrate the effectiveness of the framework as well as the recovery guarantees.

AB - A compressive sensing based bistatic MIMO radar is proposed for joint direction of departure (DOD), direction of arrival (DOA) and Doppler frequency estimation, where random arrays are employed and the intervals between adjacent pulses are chosen randomly. A discretization mechanism for DOD- DOA-Doppler space is established. Under such a sparse framework, the least amount of random measurements required for faithful target parameter recovery is derived. The theoretical derivation indicates that a dramatic reduction in the number of measurements is attainable without degrading the estimation performance. Numerical results demonstrate the effectiveness of the framework as well as the recovery guarantees.

KW - Compressive sensing

KW - MIMO radar

KW - parameter estimation

KW - random measurements

UR - http://www.scopus.com/inward/record.url?scp=84969811607&partnerID=8YFLogxK

U2 - 10.1109/ACSSC.2015.7421200

DO - 10.1109/ACSSC.2015.7421200

M3 - Conference contribution

AN - SCOPUS:84969811607

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 599

EP - 603

BT - Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015

A2 - Matthews, Michael B.

PB - IEEE Computer Society

T2 - 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015

Y2 - 8 November 2015 through 11 November 2015

ER -

Liu Y, Zhang Y, Tang J, Zhang N, Zhu W. Three dimensional compressive sensing in MIMO radar. 在 Matthews MB, 编辑, Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. IEEE Computer Society. 2016. 页码 599-603. 7421200. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2015.7421200

Three dimensional compressive sensing in MIMO radar

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