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Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library)
Beyond the Kalman Filter Particle Filters for Tracking Applications - Artech House Radar Library
Author: Branko Ristic, Sanjeev Arulampalam, Neil Gordon
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. Packed with 867 equations, this cutting-edge book intr...  more »
ISBN-13: 9781580536318
ISBN-10: 158053631X
Publication Date: 2/2004
Pages: 318
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Publisher: Artech House Publishers
Book Type: Hardcover
Members Wishing: 0
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