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MEMS陀螺空中在线标定
- 介绍一种基于自适应UKF算法的MEMS陀螺空中在线标定技术
EKFUKF
- 详细介绍了ekf与ukf的不同及算法，对于初学者对kalma滤波很有帮助。-Details the different and algorithm of EKF and UKF, very helpful for beginners on the Kalma filter.
ekf-y-ukf
- The Simultaneous Localisation and Mapping (SLAM) problem asks if it is possible for a mobile robot to be placed at an unknown location in an unknown environment and for the robot to incrementally build a consistent map of this environment whi
2-Unscented-Kalman-Consensus-Filters
- (C-UKF)利用共识协议并将它应用于最优滤波器的非线性状态空间模型-Nonlinear state space model (C-UKF) and applies it to take advantage of the consensus agreement of the optimal filter
nonlinear-filtering
- 《卡尔曼滤波与组合导航》一书中非线性滤波章节的知识，EKF,UKF,UPF,PF各算法流程比较详细-the flow of EKF,UKF,UPF,PF
05531567
- 关于交互式多模型对于机动目标的研究，而且是基于UKF的，该文章比较详细。-About interactive multi-model study for maneuvering targets, and is based on UKF, the article in more detail.
卡尔曼滤波原理及应用MATLAB仿真 pdf1
- 卡尔曼滤波原理及应用—MATLAB仿真主要介绍数字信号处理中的卡尔曼（Kalman）滤波算法及在相关领域应用。全书共7章。第1章为绪论。第2章介绍MATLAB算法仿真的编程基础。第3章介绍线性Kalman滤波。第4章讨论扩展Kalman滤波，并介绍其在目标跟踪和制导领域的应用和算法仿真。第5章介绍UKF滤波算法，同时也给出其应用领域内的算法仿真实例。第6章介绍了交互多模型Kalman滤波算法。第7章介绍Simulink环境下，如何通过模块库和S函数构建Kalman滤波器，并给出了系统是线性和非线