Description
Providing the most up-to-date information available on sensors and tracking, this new resource helps you develop practical, innovative design solutions for single and multiple sensor systems, as well as biomedical applications for automated cell motility study systems. Plus, it discusses important innovations and applications in multitarget tracking, featuring succinct reviews of emergent technologies from the hottest R&D labs, to keep you at the forefront of your profession. This book addresses: Multisensor tracking, resource allocation, hardware and software considerations; Multitarget tracking data association algorithms and various assignment techniques; The incorporation of the Nearest Neighbor Joint Probabilistic Data Association algorithm into the Interacting Multiple Model estimator, and the algorithm's application to a multiplatform/multisensor tracking problem; Non-linear filtering to fuse target kinematic state measurements and target signature measurements, a method applicable to sensors reactive to sensor-target orientation, such as high range resolution radar, SAR, ladar, and electro-optical imaging sensors; A Variable Structure Interacting Multiple Model (VS-IMM) estimator combined with an Assignment algorithm for tracking multiple ground targets using MTI data obtained from an airborne sensor. Of special interest to designers and systems engineers, the book includes a discussion of ECMs that might be used to corrupt radar tracking performance and ways to computer-model these ECMs for use in simulations. Plus, you get a detailed signal processing model to help you optimize sonar/radar waveforms for tracking, and a comprehensive introduction to variable structure estimators to help you assess their practical applications.
Table Of Contents
Practical Aspects of Multisensor Tracking. Survey of Assignment Techniques for Multitarget Tracking. IMM Estimator with Nearest Neighbor Joint Probabilistic Data Association. Multiassignment for Tracking a Large Number of Overlapping Objects. Finite Difference Methods for Nonlinear Filtering and Automatic Target Recognition. Large Scale Ground Target Tracking with Single and Multiple MTI Sensors. Radar Systems Modeling for Tracking. ECM Modeling for Multitarget Tracking and Data Association. Waveform Detection/Tracking Performance at the System Level. Engineer 's Guide to Variable-Structure Multiple-Model Estimation for Tracking.
Author
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Yaakov Bar-Shalom
Yaakov Bar-Shalom is a distinguished professor in the Electrical, Computer, and Information Engineering Department at the University of Connecticut. He received his Ph.D. in Electrical Engineering from Princeton University, and his M.S. in Electrical Engineering from Technion in Israel. Dr. Bar-Shalom is a Fellow and distinguished AES Society lecturer in the IEEE, and a director on the board of the International Information Fusion Society.
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William Dale Blair
William Dale Blair is a senior research engineer at the Georgia Tech Research Institute in Atlanta, Georgia. He was an electrical engineer with the Naval Surface Warfare Center, Dahlgren Division. He received his B.S. and M.S. in Electrical Engineering from Tennessee Technological University, and his Ph.D. in Electrical Engineering from the University of Virginia. Dr. Blair is a senior member of the IEEE and a member of the Association of Old Crows.