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dc.contributor.authorSullivan, Edward J.
dc.date.accessioned2018-10-11T14:08:23Z
dc.date.available2018-10-11T14:08:23Z
dc.date.issued1997
dc.identifier11509
dc.identifier.govdocCP-45
dc.identifier.urihttp://hdl.handle.net/20.500.12489/468
dc.description.abstractA new method of wavefront curvature passive ranging is introduced that is based on a model-based approach. The signal and measurement systems are placed into state-space form, thereby allowing the unknown parameters of the model, such as the signal bearing, range, and source frequency to be estimated by an extended Kalman filter. Since the processor treats the parameters of interest as unknown parameters to be estimated, there is no explicit beamformer structure. After a theoretical exposition of the underlying theory. The performance of the processor is evaluated with synthesized data sets. The results indicate that the method is a highly effective approach.
dc.format6 p. : ill. ; digital, PDF file
dc.languageEnglish
dc.publisherNATO. SACLANTCEN
dc.sourceIn: High Frequency Seafloor Acoustics (SACLANTCEN Conference Proceedings CP-45), 1997, pp. 533-538
dc.subjectSynthetic Aperture Sonar (SAS)
dc.subjectSignal processing
dc.subjectKalman filtering
dc.subjectAcoustic models
dc.subjectSonar mathematical models
dc.titleWavefront curvature ranging as a passive synthetic aperture problem
dc.typePapers and Articles
dc.typeConference Proceedings (CP)


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