3.4.3 递推贝叶斯滤波(Recursive Bayesian Filters) 28-29 3.4.4 动态规划算法(Dynamic Programming Algorithm,DPA) 29-30
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然后我们介绍了常用的滤波技术,重点是以贝叶斯递推估计和蒙特卡罗方法为基础的粒子滤波。
Then we will introduce some common-used filtering techniques. Particle filter which is based on Bayesian estimation and Monte Carlo method will be emphasized.
介绍了作为粒子滤波理论基础的递推贝叶斯估计的基本概念,说明了重要性函数对于粒子滤波器的设计是至关重要的。
The principle of Recursive Bayesian estimation was introduced which was the basis of Particle filter, and the significance of importance function to the design of particle filter was illustrated.
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