Estimators for model-based passive localization

dc.contributor.author	Sullivan, Edward J.
dc.contributor.author	Volkmann, W. M.
dc.contributor.author	Bongi, Silvio
dc.date.accessioned	2018-10-11T14:05:56Z
dc.date.available	2018-10-11T14:05:56Z
dc.date.issued	1988/07
dc.identifier	1689
dc.identifier.govdoc	SM-211
dc.identifier.uri	http://hdl.handle.net/20.500.12489/178
dc.description.abstract	A comparative study is made of the performance of four different estimators as used in the matched field technique of passive localization. The study is based on both real and synthesized data. In the synthesized data case, a comparison is made of the performance of the estimators for various signal-to-noise ratios. The four estimators studied are Bucker's Estimators, which can be thought of as a
dc.description.abstract	spatial matched filter, and three likelihood-type estimators. The results indicate that the matched-field type estimator has a slightly better signal-to-noise performance than the others, but rather poor sidelobe behaviour, whereas for the likelihood-type estimator the sidelobe behaviour is quite good.
dc.format	16 p. : ill. ; 16 fig.
dc.language	English
dc.publisher	NATO. SACLANTCEN
dc.relation.ispartofseries	ADA199702
dc.subject	Inverse problems
dc.subject	Signal processing
dc.subject	Target localization
dc.subject	Passive sonar
dc.title	Estimators for model-based passive localization
dc.type	Scientific Memorandum (SM)