Two approaches to a nonlinear state estimation problem are presented. The particular problem addressed is that of tracking a maneuvering target in three-dimensional space using spherical observations (radar data). Both approaches rely on semi-Markov modeling of target maneuvers and result in effective algorithms that prevent the loss of track that often occurs when a target makes a sudden, radical change in its trajectory. Both techniques are compared using real and simulated radar measurements with emphasis on performance and computational burden.
Maneuvering Target Tracking Using Adaptive State Estimation
IEEE Transactions on Aerospace and Electronic Systems ; AES-13 , 3 ; 310-317
1977-05-01
1579701 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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