A particle filter algorithm based on Bayesian theory and Monte-Carlo simulation is presented. 提出了一种基于贝叶斯理论及蒙特卡罗仿真的粒子滤波算法。
The better particle is selected in terms of its weight to ameliorate the diversity of samples, so that the degeneracy phenomenon is relieved. 按照粒子权值的大小选择较好的粒子用于滤波，以增加样本的多样性，从而缓解粒子滤波的退化问题。
