Examination of selected passive tracking schemes using adaptive kalman filtering

dc.contributor.authorDailey, Timothy E.en
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2019-01-31T17:50:40Zen
dc.date.available2019-01-31T17:50:40Zen
dc.date.issued1982en
dc.description.abstractIn the past, passive SONAR range tracking systems have used Extended Kalman filters to process nonlinear time-delay measurements. This approach has several flaws due to the inherent divergence problems of Extended Kalman filters. This paper discusses a new approach which uses a prefilter to linearize the measurements so that they can be processed by a standard Kalman filter. The approach is subsequently expanded for use with an adaptive Kalman filter which allows source maneuvers to be tracked. A new approach to passive Doppler velocity tracking is also proposed which uses a dedicated Kalman filter to track random fluctuations in the sources center frequency. This dedicated tracker simplifies the problem so that it can be handled by a basic adaptive Kalman filter.en
dc.description.degreeMaster of Scienceen
dc.format.extentiv, 64, [1] leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/87155en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 9232037en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1982.D324en
dc.subject.lcshKalman filteringen
dc.subject.lcshSonaren
dc.titleExamination of selected passive tracking schemes using adaptive kalman filteringen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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