CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2013, Vol. 30 ›› Issue (3): 469-474.

Previous Articles    

A Deep Improved Particle Filter for Non-linear Noisy Observation Series

JIA Meng   

  1. Department of Electrical Engineering, Xinxiang College, Xinxiang 453000, China
  • Received:2012-06-05 Revised:2012-10-23 Online:2013-05-25 Published:2013-05-25

Abstract: We present a deep improved particle filtering theory which selects samples from comparison of both weight increasing trend and weight.It decides fission and reproduction of samples through statistic analysis of samples.Though approaches increase computing time for trend judging,computing accuracy is improved.

Key words: non-linear filtering, deep improved particle filtering, weight analyzing, sample degeneration, weight degeneracy

CLC Number: