Multitarget-Multisensor Tracking: Principles and Techniques

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]. CONTENTS Preface 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