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Proceedings Paper

A capon beamforming method for clutter suppression in colocated compressive sensing based MIMO radars
Author(s): Yao Yu; Shunqiao Sun; Athina P. Petropulu
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Paper Abstract

Compressive sensing (CS) based multi-input multi-output (MIMO) radar systems that explore the sparsity of targets in the target space enable either the same localization performance as traditional methods but with significantly fewer measurements, or significantly improved performance with the same number of measurements. However, the enabling assumption, i.e., the target sparsity, diminishes in the presence of clutter, since clutters is highly correlated with the desire target echoes. This paper proposes an approach to suppress clutter in the context of CS MIMO radars. Assuming that the clutter covariance is known, Capon beamforming is applied at the fusion center on compressively obtained data, which are forwarded by the receive antennas. Subsequently, the target is estimated using CS theory, by exploiting the sparsity of the beamformed signals.

Paper Details

Date Published: 31 May 2013
PDF: 7 pages
Proc. SPIE 8717, Compressive Sensing II, 87170J (31 May 2013); doi: 10.1117/12.2015635
Show Author Affiliations
Yao Yu, Rutgers, The State Univ. of New Jersey (United States)
Shunqiao Sun, Rutgers, The State Univ. of New Jersey (United States)
Athina P. Petropulu, Rutgers, The State Univ. of New Jersey (United States)


Published in SPIE Proceedings Vol. 8717:
Compressive Sensing II
Fauzia Ahmad, Editor(s)

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