Description
Book SynopsisAn overview of the state in design and implementation of advanced tracking for single and multiple sensor systems. The text provides evaluations of sensor management, kinematic and attribute data processing, data association, situation assessment, and modern tracking and data fusion methods as applied in both military and non-military arenas. The book offers full coverage of tracking topics such as passive ranging and interactive multiple model (IMM) filtering; multiple hypothesis tracking (MHT) data association; Bayesian and Dempster-Shafer attribute fusion; multiple sensor tracking methods for distributed systems such as space-based surveillance systems; use of tracking data for situation assessment and sensor management; track fusion and track-before-detect (TBD) methods; and efficient allocation of agile beam radar resources. It also covers the interpretation and optimisation of tracker data, and solves the problems associated with algorithm choice and design.
Table of ContentsThe Basics of Target Tracking. Sensor and Source Characteristics. Kinematic State Estimation: Filtering and Prediction. Modelling and Tracking Dynamic Targets. Passive Sensor Tracking. Basic Methods for Data Association. Advanced Methods for MTT Data Association. Attribute Data Fusion. Multiple Sensor Tracking -- Issues and Methods. Multiple Sensor Tracking -- System Implementation and Applications. Reasoning Schemes for Situation Assessment and Sensor Management. Situation Assessment. Tracking System Performance Prediction, and Evaluation. Multi Target Tracking with an Agile Beam Radar. Sensor Management. Multiple Hypothesis Tracking System Design and Application. Detection and Tracking of Dim Targets in Clutter.
