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工学博士学位论文
目前，扩展卡尔曼滤波是研究初始对准和惯性/GPS组合导航问题的一个主要手段。
但初始对准和惯性/GPS组合导航问题本质上是非线性的，对模型进行线性化的扩展卡
尔曼滤波在一定程度上影响了系统的性能。近年来，直接使用非线性模型的
UKF(Unscented Kalman Filtering, UKF)和粒子滤波，正在逐渐成为研究非线性估计问题
的热点和有效方法。
本文研究了UKF和粒子滤波两种非线性滤波方法，并将其应用于非线性静基座对
准和惯性
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Klaas Gadeyne, a Ph.D. student in the Mechanical Engineering Robotics Research Group at K.U.Leuven, has developed a C++ Bayesian Filtering Library that includes software for Sequential Monte Carlo methods, Kalman filters, particle filters, etc. -Klaa
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贝叶斯滤波的经典程序,从国外得来.这是粒子滤波历史上非常著名的bootstrap算法,值得研究.-classical Bayesian filtering procedures, come from abroad. This is the history of particle filter is very famous bootstrap method worth studying.
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一个例子滤波应用程序，可以了解粒子滤波的工作原理-an example of filtering applications, particle filter can understand the principle
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第二个例子滤波应用程序，可以了解粒子滤波的工作原理-second example filtering application that can understand the particle filter Principle
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第三个例子滤波应用程序，可以了解粒子滤波的工作原理-third example filtering application that can understand the particle filter Principle
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第四个例子滤波应用程序，可以了解粒子滤波的工作原理-fourth example filtering application that can understand the particle filter Principle
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关于粒子滤波方面的第13篇参考文献，方便大家学习的，可以高效的实现非线性kalman滤波。(On the reference of particle filtering, it is convenient for everyone to learn, and the nonlinear Kalman filter can be realized efficiently)
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关于粒子滤波方面的第14篇参考文献，方便大家学习的，可以高效的实现非线性kalman滤波。(On the reference of particle filtering, it is convenient for everyone to learn, and the nonlinear Kalman filter can be realized efficiently.)
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关于粒子滤波方面的第15篇参考文献，方便大家学习的，可以高效的实现非线性kalman滤波。(On the reference of particle filtering, it is convenient for everyone to learn, and the nonlinear Kalman filter can be realized efficiently.)
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关于粒子滤波方面的第16篇参考文献，方便大家学习的，可以高效的实现非线性kalman滤波。(On the reference of particle filtering, it is convenient for everyone to learn, and the nonlinear Kalman filter can be realized efficiently)
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关于粒子滤波方面的第17篇参考文献，方便大家学习的，可以高效的实现非线性kalman滤波。(On the reference of particle filtering, it is convenient for everyone to learn, and the nonlinear Kalman filter can be realized efficiently)
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关于粒子滤波方面的第18篇参考文献，方便大家学习的，可以高效的实现非线性kalman滤波。(On the reference of particle filtering, it is convenient for everyone to learn, and the nonlinear Kalman filter can be realized efficiently.)
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该文档是《粒子滤波原理及应用MATLAB仿真》一书的配套例程，对于学习粒子滤波算法的MATLAB实现很有帮助(This document is a companion routine to the book Particle Filtering Theory and Application of MATLAB Simulation. It is helpful for learning MATLAB implementation of particle filter algorithm.)
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粒子滤波的MATLAB实现，通过寻找一组在状态空间中传播的随机样本来近似的表示概率密度函数，用样本均值代替积分运算，进而获得系统状态的最小方差估计的过程，这些样本被形象的称为“粒子”，故而叫粒子滤波(MATLAB implementation of particle filter,By looking for a set of random samples which are propagated in the state space to approximate the probability
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Rao Blackwellised Particle Filtering for Dynamic Conditionall()
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用matlab实现粒子滤波，基于黄小平老师的新书第七章内容编程源代码(Implementation of particle filtering with MATLAB)
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该程序包括了辅助粒子滤波，盒粒子滤波，RBPF滤波，是一个学习粒子滤波很好的教程(The program includes auxiliary particle filtering, box particle filtering, RBPF filtering, which is a good learning particle filter tutorial.)
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研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory
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《粒子滤波原理及应用》 及其相关例子程序(Principle and Application of Particle Filtering and related example program)
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