Electrical & Electronic Engineering |
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An unscented particle filter for ground maneuvering target tracking |
GUO Rong-hua, QIN Zheng |
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China |
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Abstract In this study, an unscented particle filtering method based on an interacting multiple model (IMM) frame for a Markovian switching system is presented. The method integrates the multiple model (MM) filter with an unscented particle filter (UPF) by an interaction step at the beginning. The framework (interaction/mixing, filtering, and combination) is similar to that in a standard IMM filter, but an UPF is adopted in each model. Therefore, the filtering performance and degeneracy phenomenon of particles are improved. The filtering method addresses nonlinear and/or non-Gaussian tracking problems. Simulation results show that the method has better tracking performance compared with the standard IMM-type filter and IMM particle filter.
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Received: 26 March 2007
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