Beyond the Kalman Filter: Particle Filters for Tracking Applications

by 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... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 158053631X
• ISBN13: 9781580536318
• Release Date: January 2004
• Publisher: Artech House Publishers
• Length: 299 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.9" x 6.4" x 9.3"