计算机工程与应用2012，Vol.48Issue(1)：170-172,236,4.DOI:10.3778/j.issn.1002-8331.2012.01.048
微分进化粒子滤波
New particle filter based on differential evolutionary algorithm
王龙生 1顾浩 1余云智 1韩瑜1
作者信息
- 1. 江苏自动化研究所,江苏连云港222006
- 折叠
摘要
Abstract
Aiming at solving the sample impoverishment phenomenon caused by the re-sample scheme of conventional particle filter, an evolutionary particle filter is proposed, in which differential evolutionary programming is introduced. The improved approach relieves the effect caused by samples impoverishment through ameliorating the diversity of samples set and improves the ability of tracking the target via using the crossover and mutation operators. Simulation results demonstrate that compared with the traditional particle filter, this improved method can evaluate the state and track target more accurately, and the precision of this algorithm increases more than 100 percent than standard particle filter. It needs fewer particles to achieve tracking problems.关键词
微分进化/粒子滤波/重采样/粒子退化Key words
differential evolution/particle filter/resample/samples impoverishment分类
矿业与冶金引用本文复制引用
王龙生,顾浩,余云智,韩瑜..微分进化粒子滤波[J].计算机工程与应用,2012,48(1):170-172,236,4.
