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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
bf-C++source-2003.8-5
- 实现bayes框架下的几种滤波算法的库程序，包括EKF,UKF等滤波器的C++的源程序，软件采用了模版化编程技术，易于使用。有样例程序，开发环境是Visual Studio。
upf_demos
- ekf, ukf, pf等滤波器程序，对于学习估计理论的非常有用-ekf, ukf, pf procedures, such as filters, estimation theory for the study of very useful
ukf
- 一个经典的介绍UKF的英文PPT,对初学者很有用-A classic introduction to UKF English PPT, very useful for beginners
Location_Tracking
- 单传感器对目标的定位跟踪。包括基于CA和IMM模型的EKF和UKF算法。-Single sensor on the target' s location tracking. Including those based on CA and the IMM algorithm model EKF and UKF.
IMMKFEKFfitler
- 雷达多目标机动跟踪 利用imm模型可以获得很好的跟踪效果，其中滤波器用了ukf和ekf. 程序列表 程序说明 CAEKF.m 采用CA模型的EKF滤波 IMMUKF.m 采用交互式多模型的UKF滤波程序 FX1.m IMMUKF.m程序中CV模型系统方程 FX2.m IMMUKF.m程序中CA模型系统方程 FZ.m IMMUKF.m程序中观测方程函数 数据列表 Measure.mat 观测数据 Real.ma
EKF_UKF
- EKF UKF 滤波算法在MATLAB仿真软件中的仿真，并进行对比-EKF UKF filtering algorithm in MATLAB software simulation, and compared
st-ekf
- 强跟踪滤波程序，其中包括st-ukf和st-ekf-code for st-ekf and st-ukf
track
- 这个是几个目标跟踪程序，有EKF、UKF和MVEKF，还有对他们的跟踪效果比较的程序。-This is the number of target tracking procedures, EKF, UKF and MVEKF, as well as the effect on their comparative tracking program.
3-d
- 四种高斯滤波算法的比较：EKF、UKF、QKF和CKF-Comparison of four Gaussian filtering algorithm: EKF, UKF, QKF and CKF
05367416
- 有关雷达跟踪的IEEE文献，主要讲述EKF和UKF，MUKF等滤波算法，有效地进行了跟踪定位-The radar tracking of IEEE literature, mainly about EKF and UKF, MUKF and other filtering algorithms that are effective in tracking and locating
06978872
- 有关雷达跟踪的IEEE文献，主要讲述EKF和UKF滤波算法，有效地进行了跟踪定位，具有很好的研究价值-The radar tracking of IEEE literature, mainly about EKF and UKF filter algorithm effectively track positioning, with good research value
Localization
- [Matlab] 模拟无人机定位目标。这里无人机按sin曲线运行，运用EKF,UKF,PF方法进行滤波，对随机目标进行定位并展示定位过程。-[MATLAB] Simulation of Localization by UAV. It uses Extended Kalman Filter, Unscented Kalman Filter and Particle Filter to find the localization of target.
ukf-ckf-cw
- 实现了空间目标的相对轨道确定，使用了EKF,UKF,SRCKF等滤波算法。-To achieve the objectives of the relative orbit determination of space, using EKF, UKF, SRCKF and other filtering algorithm.
PF_UKF_EKF_Comparision
- PF,UKF,EKF三种最优估计理论之间的对比。基本框架可用，可在此基础增加-UKF PF EKF
5.4
- 主要针对的是EKF-UKF对比滤波效果，用于跟踪预测(If you want to electrc a paper for EKF-UKF,you can open it.)
ukf以及ekf
- 无迹卡尔曼滤波算法和扩展卡尔曼滤波算法程序，算法性能对比(The algorithm of unscented Calman filter and extended Calman filter algorithm is compared with algorithm performance.)
Comparison-of-UKF-CKF-EKF-master
- 比较SR-UKF、SR-CKF和SR-EKF的执行时间(Compare execution time of the SR-UKF, SR-CKF and SR-EKF)
卡尔曼滤波原理及应用-MATLAB仿真
- 卡尔曼在MATLAB中的实现，包括ekf，ukf的一些源程序代码(The realization of Kalman in MATLAB, including some source codes of EKF and UKF)
zuizhong
- 对UKF进行改进，采用最小偏度采样减少采样点数量，并结合实际状态方程和测量方程直接进行线性运算。改进后的UKF对蛇形机动目标的跟踪效果明显优于EKF(the mini-skewness sampling is adopted to reduce the number of sampling points, and the linear operation is carried out directly combining with the actual state equation and me