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dc.contributor.authorJesus, Sergio M.
dc.date.accessioned2018-10-11T14:05:55Z
dc.date.available2018-10-11T14:05:55Z
dc.date.issued1988/08
dc.identifier1686
dc.identifier.govdocSM-208
dc.identifier.urihttp://hdl.handle.net/20.500.12489/175
dc.description.abstractIn this report the detection of narrow-band low-level signals by passive sonar is addressed,
dc.description.abstractspecifically the detection of a low-level point source in a noise field modelled as a large number of
dc.description.abstracthigh-level source lines embedded in white additive noise. This model may give, with a conventional processor, a measured noise field where the low-level source can be masked by high-level sources along similar directions. In this context, high-resolution eigenstructure detection algorithms are shown to achieve a significantly higher probability of detection than the conventional beamformer. The performance of four detection algorithms is compared using synthetic data - a companion report will present real data results.
dc.format27 p. : ill. ; 9 fig.
dc.languageEnglish
dc.publisherNATO. SACLANTCEN
dc.relation.ispartofseriesADA200486
dc.subjectBeamforming
dc.subjectPassive sonar
dc.subjectSignal detection
dc.titleDetection of narrow-band low-level signals: simulated performance of high-resolution eigenstructure methods versus conventional beamforming
dc.typeScientific Memorandum (SM)


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