计算机工程与应用2013，Vol.49Issue(6)：209-212,4.DOI:10.3778/j.issn.1002-8331.1107-0330
基于混沌免疫遗传优化的粒子滤波重采样
Particle filter resampling based on chaos immunity genetic optimization
摘要
Abstract
In view of the particle filtering algorithm in the particle multiplicity degeneration question, this paper proposes a corrective method using chaos immunity genetic algorithm to carry on particle resampling. This algorithm speeds up the search speed using the chaos partial optimization and joins the new chaos sequence through the density computation of immunity principle to supplement the population multiplicity. It sharpens the overall situation search ability, avoids restraining immaturely. The experimental result shows that it has the better overall situation optimization ability and the quicker convergence rate, compared with the particle resampling based on the immunity genetic algorithm.关键词
粒子滤波/混沌/免疫算法/遗传算法/重采样Key words
particle filtering/ chaos/ immune algorithm/ genetic algorithm/ resampling分类
信息技术与安全科学引用本文复制引用
李睿,毛莉,张九蕊..基于混沌免疫遗传优化的粒子滤波重采样[J].计算机工程与应用,2013,49(6):209-212,4.基金项目
甘肃省教育厅研究生导师基金项目(No.1014ZTC089) （No.1014ZTC089）
甘肃省财政厅科研项目(No.0914ZTB148). （No.0914ZTB148）
