本篇讲述了基于序贯重要采样的粒子滤波算法，实用性很强，讲解很细致-This story is based on the sequential sampling particle filter algorithm is an important and practical strong, the explanation is meticulous

一篇关于代价参考粒子滤波算法的论文，该算法的优点是不需要任何先验概率知识的假定和重采样过程，可实现并行处理。本文将代价参考粒子滤波与当前统计模型的优点相结合 ,提出一种新的当前统计模型自适应跟踪算法 ,用于非线性非高斯系统的机动目标跟踪。-A particle filter on the reference price of the paper, the advantages of the algorithm does not require any prior knowledge of the

序贯重要性采样——标准粒子滤波算法。可直接使用。-Sequential importance sampling- standard particle filter. Can be used directly.

文件有关重采样程序。有两个子程序，其一实现随机采样，第二个多项式采样。(The file is about resampling program.There are two subprograms.One is Random sampling .The other is polynomial sampling.)