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Proceedings Paper

Image reconstruction and compressive sensing in MIMO radar
Author(s): Bing Sun; Juan Lopez; Zhijun Qiao
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Paper Abstract

Multiple-input multiple-output (MIMO) radar utilizes the flexible configuration of transmitting and receiving antennas to construct images of target scenes. Because of the target scenes' sparsity, the compressive sensing (CS) technique can be used to realize a feasible reconstruction of the target scenes from undersampling data. This paper presents the signal model of MIMO radar and derive the corresponding CS measurement matrix, which shows success of the CS technique. Also the basis pursuit method and total-variation minimization method are adopted for different scenes' recovery. Numerical simulations are provided to illustrate the validity of reconstruction for one dimensional and two dimensional scenes.

Paper Details

Date Published: 3 June 2014
PDF: 7 pages
Proc. SPIE 9077, Radar Sensor Technology XVIII, 90770O (3 June 2014); doi: 10.1117/12.2051275
Show Author Affiliations
Bing Sun, BeiHang Univ. (China)
Juan Lopez, Univ. of Houston (United States)
Zhijun Qiao, The Univ. of Texas-Pan American (United States)

Published in SPIE Proceedings Vol. 9077:
Radar Sensor Technology XVIII
Kenneth I. Ranney; Armin Doerry, Editor(s)

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