An Improved Particle Filter With A New Sample Processing Strategy

摘要：

In many nonlinear and non-Gaussian application areas, particle fllter(PF) shows great promise. However, PF has a problem of sample impoverishment which decreases filter accuracy seriously. To improve the filters performance, this paper proposes an improved algorithm(PF-DR) with a new sample processing strategy. The new strategy introduces a desired region to select and adjust the particle samples. It accepts all the predicted samples which are already in the region, and concentrates the other samples which are not in the interval from remote region to high likelihood region of probability density function. Compared with standard PF, experimental results show that this new algorithm increases the filtering accuracy and reduces the total time consumption.

关键词： particle filter sample impoverishment degeneracy phenomenon sampling strategy

作者: Zhao Yi-zheng

作者单位: Dept. of Signal and Information Processing Hefei Electronic and Engineering Institute Hefei, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 50-54

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）