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

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	599-603
Number of pages	5
ISBN (Electronic)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421200
Publication status	Published - 26 Feb 2016
Externally published	Yes
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: 8 Nov 2015 → 11 Nov 2015

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2016-February
ISSN (Print)	1058-6393

Conference

Conference	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	8/11/15 → 11/11/15

Keywords

Compressive sensing
MIMO radar
parameter estimation
random measurements

Access to Document

10.1109/ACSSC.2015.7421200

Cite this

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

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

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

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

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

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AU - Zhang, Ning

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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

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Liu Y, Zhang Y, Tang J, Zhang N, Zhu W. Three dimensional compressive sensing in MIMO radar. In Matthews MB, editor, Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. IEEE Computer Society. 2016. p. 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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Keywords

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