Presented for the first time in one convenient source - a comprehensive discussion of all the necessary information required for the design of multiple-target tracking (MTT) surveillance systems. Multiple-Target Tracking with Radar Applications emphasizes the practical principles of application. Multiple-Target Tracking with Radar Applications is ideal for radar and electro-optical surveillance system designers and analysts needing the latest design and evaluation techniques for operation systems. If you are a graduate student or manager working in surveillance system design, you'll receive a thorough explanation of the basics of MTT for the design of future aerospace systems. Multiple-Target Tracking with Radar Applications provides you with all the modern theory, methods and appplication methods you need to incorporate MTT as an essential element of surveillance systems employing one or more sensors to interpret both true targets and false alarms. Multiple-Target Tracking features summaries of the many techniques that have been proposed for diverse MTT applications, as well as more general principles of application. Multiple-Target Tracking covers the practical design and evaluation of operational systems and features: theory and evaluation methods basic to the design of all MTT systems developed primarily for track-while-scan (TWS) applications; elements of filtering and prediction, including Kalman and fixed-gain filtering, as well as adaptive filtering; gating and data association issues based on nearest-neighbor and all-neighbors correlation methods; branching (or tracking-splitting), track confirmation, deletion, and score function; MTT system evaluation; derivation of general mathematical expressions for multiple-target data association; Bayesian techniques of the futureù such as multiple hypothesis tracking (MHT) and all-neighbors joining probabilistic data association (JPDA) methods; MTT design for multiple sensor systems; MTT techniques for group tracking.
The Basics of Multiple-Target Tracking. Methods for Filtering and Prediction. Choice of Tracking Coordinate System and Filtering State Variables. Gating and Data Association. Measurement Formation and Processing for Multiple-Target Tracking. Definitions of Track Life Stages. Analytic Techniques for System Evaluation. Design of A Detailed MUltiple-Target Tracking Simlation. A Maximum Likelihood Expression for Data Association. The Bayesian Probabilistic Approach. Group Tracking. Applications of the Radar Electronically Scanned Antenna to Multiple-Target Tracking. The Use of Multiple Sensors for Multiple-Target Tracking. Special Topics.
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Samuel S. Blackman
Samuel S. Blackman has over 35 years experience working in tracking system design.