[Free read ebook] Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library) (Artech House Radar Library (Hardcover))
♛ Branko Ristic, Sanjeev Arulampalam, Neil Gordon ♛
| #966031 in Books | 2004-01-31 | Original language:English | PDF # 1 | 9.21 x.75 x6.14l,1.20 | File Name: 158053631X | 318 pages
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 introduces the latest advances in particle filter theory, discusses their relevance to defense surveillance systems, and examines d...
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