基于贝叶斯原理的粒子滤波技术概述
Particle Filtering Techniques Based on Bayesian Theorem
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摘要: 针对现有非线性滤波算法收敛性及鲁棒性较差的问题 ,重点论述了基于贝叶斯原理的序贯蒙特卡罗粒子滤波器 ,指出其可能存在退化现象 ,并对消除该缺陷的关键技术进行了分析Abstract: Faced with the poor convergence and poor robustness of existing nonlinear filter ing algorithms, we focus on sequential Monte Carlo particle filter based on Baye sian theorem, and point out the degeneracy phenomenon of it, and analyze the key techniques by which we can reduce its effects.
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