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dc.contributor.authorChen, Hsieh-Chung
dc.contributor.authorKung, H. T.
dc.contributor.authorWicks, Michael C.
dc.date.accessioned2012-12-06T18:31:48Z
dc.date.issued2012-12-06
dc.identifier.citationChen, 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.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10007899
dc.description.abstractWe 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.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.relation.hasversionhttp://www.eecs.harvard.edu/~htk/publication/2012-cosera-chen-kung-wicks.pdfen_US
dash.licenseLAA
dc.subjectcompressed statistical testingen_US
dc.subjectlikelihood ratio testen_US
dc.subjectsample matrix inversionen_US
dc.subjectpulse-Doppler radaren_US
dc.subjecttarget detectionen_US
dc.subjectspace-time adaptive processingen_US
dc.subjectcompressive sensingen_US
dc.subjectcompressed samplingen_US
dc.subjectcompressed domain processingen_US
dc.titleCompressed Statistical Testing and Application to Radaren_US
dc.typeConference Paperen_US
dc.description.versionAuthor's Originalen_US
dash.depositing.authorKung, H.T. T.
dc.date.available2012-12-06T18:31:48Z
dash.contributor.affiliatedChen, Hsieh-Chung
dash.contributor.affiliatedKung, H.


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