Tracking and Data Fusion: A Handbook of Algorithms - Hardcover

Yaakov Bar-Shalom; Peter K. Willett; Xin Tian

 
9780964831278: Tracking and Data Fusion: A Handbook of Algorithms

Synopsis

This book, which is therevised version of the 1995 textMULTITARGET-MULTISENSORTRACKING: PRINCIPLES AND TECHNIQUES, at double the length, is themostcomprehensive state of the art compilation of practicalalgorithms for the estimation of the states oftargets in surveillance systems operating in amultitarget environment using data fusion.This problemis characterized by measurement origin uncertainty,typical for low observables.The tools for design of algorithms for the association ofmeasurements and tracking are presented. Explicitconsideration is given for measurementsobtained from different sensors under realisticassumptions --- lack of synchronicity anddifferent detection and accuracy characteristics. Severalreal-data examples are given to illustratethe techniques discussed.The modeling accounts for target maneuvers, non-unity detection probability,false alarms, interference from other targets and the finiteresolution capability of sensors. The problems of track initiation,maintenance and multisensor data fusion are considered. Theoptimization of certain signal processing parameters based ontracking performance is also discussed. The latest results on measurement extraction for unresolved targets, sensor management and data fusion are included.Many of these techniques have applications to state estimation when usingmultiple sensors in control systems, autonomous vehicle navigation, robotics and wireless communication.An extensive index is provided with all the indexed terms highlighted in the text for the convenience of the reader.

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