In practical tracking applications, the target detection performance may be unknown and also change rapidly in time. This work considers a network of sensors and develops a target-tracking procedure able to adapt and react to the time-varying changes of the network detection probability. The proposed adaptive tracker is validated using extensive computer simulations and real-world experiments, testing a network of high-frequency radars for maritime surveillance and an underwater network of autonomous underwater vehicles for antisubmarine warfare.
Multisensor adaptive bayesian tracking under time-varying target detection probability
IEEE Transactions on Aerospace and Electronic Systems ; 52 , 5 ; 2193-2209
2016-10-01
1984798 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Multi Target -- Multisensor Tracking: Principles & Techniques
Online Contents | 1996
Tema Archiv | 1988
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