The problem of tracking ground targets with GMTI sensors has received some attention in the recent past. In addition to standard GMTI sensor measurements, one is interested in using non-standard information such as road maps, and terrain-related visibility conditions to enhance tracker performance. The conventional approach to this problem has been to use the variable structure IMM (VS-IMM), which uses the concept of directional process noise to model motion along particular roads. In this paper, we present a particle filter based approach to this problem which we call variable structure multiple model particle filter (VS-MMPF). Simulation results show that the performance of the VS-MMPF is much superior to that of VS-IMM.
A variable structure multiple model particle filter for GMTI tracking
01.01.2002
521658 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Variable Structure Multiple Model Particle Filter for GMTI Tracking
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