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Bezig met laden... Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library)door Branko Ristic
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Onderdeel van de uitgeversreeks(en)
For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. To solve problems beyond this restricted class, particle filters are proving to be dependable methods for stochastic dynamic estimation. This cutting-edge book introduces the latest advances in particle filter theory, discusses their relevance to defence surveillance systems, and examines defence-related applications of particle filters to nonlinear and non-Gaussian problems. nonlinear filter designs and more precisely predict the performance of these designs. You can also apply particle filters to tracking a ballistic object, detection and tracking of stealthy targets, tracking through the blind Doppler zone, bi-static radar tracking, passive ranging (bearings-only tracking) of manoeuvering targets, range-only tracking, terrain-aided tracking of ground vehicles, and group and extended object tracking. Geen bibliotheekbeschrijvingen gevonden. |
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Google Books — Bezig met laden... GenresDewey Decimale Classificatie (DDC)621.3848Technology Engineering and allied operations Applied physics Electrical, magnetic, optical, communications, computer engineering; electronics, lighting Electronics, communications engineering Radar, Radio RadarLC-classificatieWaarderingGemiddelde:
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