The simulation of particle filter scheme for underg round observation series
Ye Zhang, Meng Jia, Xiang Xin · 2014
The underground observation series are signals with non-Gauss noise which can’t be done by traditional filtering such as Kalman filtering (KF). Particle filtering(P F) does well in denoising the non-linear disturbed signals, but as the observing time extend, the PF will have problem s with sample degeneration weight degeneracy. The p presents new particle filter schemes which can be w idely used in the field of chaos signal denoise and target identification, especially for underground signals. The approach improves the estimation accuracy with out decreasing computing speed.