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nonlinearfilter
- 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
Vo
- Random Set/Point Process in Multi-Target Tracking. 关于PHD滤波实现多目标跟踪很好的课件。-Random Set/Point Process in Multi-Target Tracking. On PHD filter multi-target tracking good courseware.
UKF
- 自己写的UKF滤波程序，使用2n+1Sigma点采样-UKF filter written by myself, using 2n+1 Sigma-point sampling
PHD_MTT
- Probability hypothesis density filter for MTT tracking
demo_BOT
- PHD滤波的粒子滤波实现,采用BOT测量模型-particle filter implementation of PHD fitler with BOT measurement model
application
- ＰＨＤ滤波的应用文章，包括了２００５以后的一些较重要文献-Applications for the PHD filter, including some important literatures after 2005.
pfvsmarginal
- 粒子滤波与PHD多目标跟踪比较，三目标分别进行粒子滤波和marginalPHD滤波跟踪比较结果。-PHD particle filter multi-target tracking compared with the three goals were to filter tracking particle filter and marginalPHD comparison.
GM-PHD-filter
- 用于多目标追踪的高斯混合概率假设滤波的文档-doc for gm-phd
PHD
- 用于多目标追踪的概率假设密度粒子滤波的程序-PHD Filter for MTT
UnscentedTransform1
- UnscentedTransform粒子PHD 滤波存活粒子采样新方法,学习粒子滤波最好的例子-UnscentedTransform particle PHD filter survival particle sampling new way to learn the best example of particle filter
PHD
- 用PHD滤波的方法实现多目标跟踪，及对PHD滤波性能的检测。-PHD filter method using multi-target tracking, and performance testing for the PHD filter.
PHD_MTT
- 多目标跟踪，PHD滤波器的使用，实现过程采用高斯混合方法-Multi-target tracking, using PHD filter realization method using Gaussian mixture
filter-using-BOT-Model
- 采用bot模型的粒子phd滤波，能够实现很好的效果，内涵matlab算法-Phd bot model using particle filter, can achieve good results, connotation matlab algorithm
PHD
- 有关随机有限集一阶矩PHD滤波的matlab实现的程序。-First moment PHD filter matlab implementation procedures for random finite set.
PF
- 有关随机有限集一阶矩PHD和粒子滤波相结合的matlab实现的程序，对于学习PHD和粒子滤波有一定的帮助！-First moment PHD filter matlab implementation procedures for random finite set.
PHD-filter-for-visual-tracking
- 采用PHD filter进行视觉多目标跟踪的两篇顶级论文-Two important papers about using PHD filter to track multiple object in video
gaussian-mixture--PHD-filter
- The Gaussian mixture probability hypothesis density filter (GM-PHD Filter) was proposed recently for jointly estimating the time-varying number of targets and their states a noisy sequence of sets of measurements. - The Gaussian mixture probability
Li_SMC_PHD-pack
- PHD filter example and fully written example matlab code
白努力
- 基于随机有限集的单目标以及多目标跟踪文章以及代码(RFS Multi-target tracking PHD Filter)
GM-PHD1
- Over-the-horizon radar (OTHR) exploits skywave propagation of high-frequency signals to detect and track targets, which are different from the conventional radar. It has received wide attention because of its wide area surveillance, long detectio