Beyond the Kalman Filter Particle Filters for Tracking Applications is popular PDF and ePub book, written by Branko Ristic in 2003-12-01, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Beyond the Kalman Filter Particle Filters for Tracking Applications can be Read Online from any device for your convenience.
Beyond the Kalman Filter Particle Filters for Tracking Applications Book PDF Summary
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 defense-related applications of particle filters to nonlinear and non-Gaussian problems. With this hands-on guide, you can develop more accurate and reliable 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 maneuvering targets, range-only tracking, terrain-aided tracking of ground vehicles, and group and extended object tracking.
Detail Book of Beyond the Kalman Filter Particle Filters for Tracking Applications PDF
- Author : Branko Ristic
- Release : 01 December 2003
- Publisher : Artech House
- ISBN : 1580538517
- Genre : Technology & Engineering
- Total Page : 328 pages
- Language : English
- PDF File Size : 20,6 Mb
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