dc.contributor.author | Jesus, Sergio M. | |
dc.date.accessioned | 2018-10-11T14:05:55Z | |
dc.date.available | 2018-10-11T14:05:55Z | |
dc.date.issued | 1988/08 | |
dc.identifier | 1686 | |
dc.identifier.govdoc | SM-208 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12489/175 | |
dc.description.abstract | In this report the detection of narrow-band low-level signals by passive sonar is addressed, | |
dc.description.abstract | specifically the detection of a low-level point source in a noise field modelled as a large number of | |
dc.description.abstract | high-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.format | 27 p. : ill. ; 9 fig. | |
dc.language | English | |
dc.publisher | NATO. SACLANTCEN | |
dc.relation.ispartofseries | ADA200486 | |
dc.subject | Beamforming | |
dc.subject | Passive sonar | |
dc.subject | Signal detection | |
dc.title | Detection of narrow-band low-level signals: simulated performance of high-resolution eigenstructure methods versus conventional beamforming | |
dc.type | Scientific Memorandum (SM) | |