YBS Publishing ISBN: 0-9648312-0-1, - 1995. 615 p.This text - set of lecture notes - presents material accumulated from a series of short courses held at UCLA Extension since 1985. The prerequisites are a solid knowledge of state estimation, which in turn lies on linear systems, probability theory, and some elements of statistics, summarized in the companion text [BL93].CONTENTSPreface
1. Introduction
2. Multiple sensors, clutter and multiple targets
3. Algorithms for tracking a single target in clutter
4. Maneuvering target in clutter
5. Tracking perfomance prediction and detection threshold optimization
6. Multiple targets in clutter: Bayesian approach
7. Multiple targets in clutter: non-Bayesian approaches
8. Multisensor tracking and data fusion
9. Tracking with imaging sensors
Problem solutions
Bibliography
