The problem of adaptively tracking, in range and velocity, an underwater maneuvering target using passive time delay measurements is examined. It is assumed that the target can make large-scale random velocity and depth changes at times which are unknown to the observer. Tracking is accomplished by making use of the basic linearized polar model of target and observer motion previously developed by one of the authors (Moose, 1977). Now, however, a nonlinear system block has been added to the tracking system, which leads to two major benefits: first, the need for extended Kalman filters is eliminated, making the passive tracking system more robust than it was previously; and second, there is a partial decoupling of depth estimation from the polar range estimator, which considerably reduces the computational level of the adaptive tracking system.
Adaptive underwater target tracking using passive multipath time-delay measurements
Adaptive Unterwasserzielverfolgung mit Hilfe von passiven Mehrpfadzeitverzoegerungsmessungen
IEEE Transactions on Acoustics, Speech and Signal Processing ; ASSP-33 , 4 ; 777-787
1985
11 Seiten, 15 Quellen
Article (Journal)
English
Adaptive underwater target tracking via a generalized Kalman filter
Tema Archive | 1990
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