| Paper: | SPTM-P5.6 | ||
| Session: | Adaptive Systems and Signal Processing | ||
| Time: | Wednesday, May 19, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Detection, Estimation, and Class. Thry & Apps. | ||
| Title: | IMPROVED PARTICLE FILTERS FOR BALLISTIC TARGET TRACKING | ||
| Authors: | Marcelo Bruno; Instituto Tecnologico de Aeronautica | ||
| Anton Pavlov; Instituto Tecnologico de Aeronautica | |||
| Abstract: | We present in this paper two improved particle filter algorithmsfor ballistic target tracking. The first algorithm is a sampling/importance resampling (SIR) filter that uses an optimized importance function plus residual resampling to combat particle degeneracy, and also incorporates a Metropolis-Hastings (MH) move step to reduce particle impoverishment. The second proposed algorithm is an auxiliary particle filter(APF). Both algorithms show good performance results when compared to the ideal posterior Cramer-Rao lower bound for the mean square estimation error. | ||
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