火力与指挥控制2009,Vol.34Issue(10):18-20,3.
粒子滤波的重采样方法
Overview of Resampling Algorithm
摘要
Abstract
Particle filtering is a sequential Monte Carlo simulation algorithm, in principle, it can be used in estimating the state of any nonlinear or non-Gaussian system. But the main defect in the present particle filtering is particle degeneracy, in order to reduce the degeneracy, the resample strategy is adopted. This article introduces some resampling algorithm and their modified strategy and makes a conclusion and prospect.关键词
粒子滤波/粒子退化/重采样Key words
particle filtering/monte carlo simulation/resample分类
信息技术与安全科学引用本文复制引用
张淼,胡建旺,周云锋,童俊..粒子滤波的重采样方法[J].火力与指挥控制,2009,34(10):18-20,3.基金项目
国家自然科学基金资助项目 ()