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Compressed sensing in MIMO radar

Chen, Chun-Yang and Vaidyanathan, P. P. (2008) Compressed sensing in MIMO radar. In: Conference record of the 42nd Asilomar Conference on Signals, Systems and Computers : October 26-29, 2008, Pacific Grove, California. Conference Record of the Asilomar Conference on Signals, Systems and Computers. IEEE , Piscataway, NJ, pp. 41-44. ISBN 978-1-4244-2940-0.

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Compressed sensing is a technique for efficiently sampling signals which are sparse in some transform domain. Recently, the idea of compressed sensing has been used in the radar system. When the number of targets on the range-Doppler plane is small, the target scene can be reconstructed by employing the compressed sensing techniques. In this paper, we extend this idea to the MIMO radar. In the MIMO radar, the compressed sensing technique can be used to reconstruct the target scene when the signals are sparse in the range-Doppler-angle space. To effectively reconstruct the target scene, it is required that the correlation between the target responses be small. In this paper, a waveform design method is introduced to reduce the correlations between target responses. Because of the increased dimensionality in MIMO radars as compared to phased array radars, the impact of compressed sensing will be very significant there.

Item Type:Book Section
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URLURL TypeDescription DOIArticle
Vaidyanathan, P. P.0000-0003-3003-7042
Additional Information:© 2008 IEEE. Work supported in parts by the ONR grant N00014-08-1-0709 and the California Institute of Technology.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-08-1-0709
Series Name:Conference Record of the Asilomar Conference on Signals, Systems and Computers
Record Number:CaltechAUTHORS:20100708-112211224
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:18951
Deposited By: Tony Diaz
Deposited On:08 Jul 2010 20:57
Last Modified:08 Nov 2021 23:48

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