Compressed Statistical Testing and Application to Radar

Compressed Statistical Testing and Application to Radar

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Compressed Statistical Testing and Application to Radar

dc.contributor.author	Wicks, Michael C.
dc.contributor.author	Kung, H.T. T.
dc.contributor.author	Chen, Hsieh-Chung
dc.date.accessioned	2012-12-06T18:31:48Z
dc.date.issued	2012-12-06
dc.identifier.citation	Chen, Hsieh-Chung, H. T. Kung, and Michael Wicks. 2012. Compressed statistical testing and application to radar. Paper presented at the 1st International Workshop on Compressed Sensing Applied to Radar (CoSeRa 2012) Bonn, Germany, May 14-16, 2012.	en_US
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:10007899
dc.description.abstract	We present compressed statistical testing (CST) with an illustrative application to radar target detection. We characterize an optimality condition for a compressed domain test to yield the same result as the corresponding test in the uncompressed domain. We demonstrate by simulation that under high SNR, a likelihood ratio test with compressed samples at 3.3x or even higher compression ratio can achieve detection performance comparable to that with uncompressed data. For example, our compressed domain Sample Matrix Inversion test for radar target detection can achieve constant false alarm rate (CFAR) performance similar to the corresponding test in the raw data domain. By exploiting signal sparsity in the target and interference returns, compressive sensing based CST can incur a much lower processing cost in statistical training and decision making, and can therefore enable a variety of distributed applications such as target detection on resource limited mobile devices.	en_US
dc.description.sponsorship	Engineering and Applied Sciences	en_US
dc.language.iso	en_US	en_US
dc.relation.hasversion	http://www.eecs.harvard.edu/~htk/publication/2012-cosera-chen-kung-wicks.pdf	en_US
dash.license	LAA
dc.subject	compressed statistical testing	en_US
dc.subject	likelihood ratio test	en_US
dc.subject	sample matrix inversion	en_US
dc.subject	pulse-Doppler radar	en_US
dc.subject	target detection	en_US
dc.subject	space-time adaptive processing	en_US
dc.subject	compressive sensing	en_US
dc.subject	compressed sampling	en_US
dc.subject	compressed domain processing	en_US
dc.title	Compressed Statistical Testing and Application to Radar	en_US
dc.type	Conference Paper	en_US
dc.description.version	Author's Original	en_US
dash.depositing.author	Kung, H.T. T.
dc.date.available	2012-12-06T18:31:48Z