摘要
粒子滤波是一种极具潜力的非线性滤波算法,粒子退化是粒子滤波的主要问题。为此,提出一种比例尺粒子滤波算法(SPF)。在重要性抽样之后,按粒子重要性权值大小,将其分为好粒子群和较差粒子群两个种群,使用固定的或动态变化的比例尺系数对好粒子群和较差粒子群中的元素求取加权值,从而生成一些备选粒子。并通过重要性权值实现粒子的优选,从而使最好粒子参与状态估计。仿真结果表明,该算法是有效的。
The particle filtering is a promising non-linear filtering,but degeneracy phenomenon is a problem.In this paper,a new particle filter（scale particle filter,SPF） was proposed to overcome the above-mentioned problem.After important sampling step,the particles were classified into two groups according to their particle-weights,and then some candidate particles were generated by the scale mean of the two groups of particles.The optimizing selection of particles was realized based on its own particle-weight so that the better particles were obtained for estimation.Simulation results demonstrate the feasibility of SPF.
出处
《弹箭与制导学报》
CSCD
北大核心
2011年第6期179-182,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
装备预研项目资助
关键词
非线性滤波
粒子滤波
比例尺
粒子退化
non-linear filtering
particle filter
scale
degeneracy phenomenon
