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Matched subspace detectors

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dc.contributor.authorFriedlander, Benjamin, author
dc.contributor.authorScharf, Louis L., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:18:51Z
dc.date.available2007-01-03T04:18:51Z
dc.date.issued1994
dc.description.abstractIn this paper we formulate a general class of problems for detecting subspace signals in subspace interference and broadband noise. We derive the generalized likelihood ratio (GLR) for each problem in the class. We then establish the invariances for the GLR and argue that these are the natural invariances for the problem. In each case, the GLR is a maximal invariant statistic, and the distribution of the maximal invariant statistic is monotone. This means that the GLR test (GLRT) is the uniformly most powerful invariant detector. We illustrate the utility of this finding by solving a number of problems for detecting subspace signals in subspace interference and broadband noise. In each case we give the distribution for the detector and compute performance curves.
dc.description.sponsorshipThis work was supported by the Office of Naval Research, Mathematics Division, Statistics and Probability Branch, under Contracts N00014-89-J-1070 and N00014-91-J-1602, and by the National Science Foundation under Grant MIP-90-17221.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationScharf, Louis L. and Benjamin Friedlander, Matched Subspace Detectors, IEEE Transactions on Signal Processing 42, no. 8 (August 1994): 2146-2157.
dc.identifier.urihttp://hdl.handle.net/10217/740
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1994 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectmatched filters
dc.subjectlinear algebra
dc.subjectfiltering and prediction theory
dc.subjectelectromagnetic interference
dc.subjectnoise
dc.subjectsignal detection
dc.titleMatched subspace detectors
dc.typeText

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