Particle Filter Based on Strong Tracking Filter
Xiaolong Deng, Weizhong Guo, Jian-Yin Xie, Jun S. Liu · 2005
One of the key issues for particle filter is the proposal distribution. A new proposal distribution, the strong tracking filter (STF) proposal distribution, is presented. The time-varied fading factor in the STF that can be tuned on line makes the algorithm adaptive. In the bearings-only passive target tracking examples, the simulation results confirm the efficiency of particle filter with the new proposal distribution.