Improvement of Fission Bootstrap Particle Filtering

摘要：

The fission BPF (FBPF) algorithm do solved the problem of sample impoverishment in general SIR method. But it also increased some compute burden than SIR; meanwhile it has the equivalent estimate precision with SIR. For the purpose of reduce some processing time or increase the estimating precision. This article analysis the performance of FBPF algorithm in detail, and based on the analysis result proposed some improved methods to achieve the purpose aforementioned. Finally we give a simulation example which certifies the proposed methods do working well.

关键词： nonlinear filtering bootstrap particle filtering (BPF) fission BPF reproduction by fission particle swarm optimization

作者: Wang Kun Wang Jie Shu Tao

作者单位: Missile Institute,Air Force Engineering University,Sanyuan 713800,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 814-820

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）