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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Beyond the Kalman Filter: Particle Filters for Tracking Applications

Beyond the Kalman Filter: Particle Filters for Tracking Applications

Ristic, Branko

Hardcover

Series: Artech House Radar Library (Hardcover)

Technology & Engineering

ISBN10: 158053631X
ISBN13: 9781580536318
Publisher: Artech House Inc
Published: Jan 31 2004
Pages: 299
Weight: 1.20
Height: 0.90 Width: 6.36 Depth: 9.26
Language: English
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.

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