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对目前非线性滤波的主要算法即扩展卡尔曼滤波、不敏卡尔曼滤波、粒子滤波、扩展卡尔曼粒子滤波和不敏粒子滤波的滤波模型、适用条件、性能进行了分析比较，给出了每种方法的计算复杂度．通过一个非线性非高斯模型进行了仿真，验证了这些算法的性能。-Present the main algorithms of the nonlinear filtering extended Kalman filter, Unscented Kalman filter, particle filter, particle filt
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神经网络+Kalman滤波，很好的测试程序，好好学习-Neural network unscented Kalman filter
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UKF算法及其在纯方位目标跟踪中的应用，改进 无迹卡尔曼滤波-UKF algorithm and its only target tracking application, unscented Kalman filter to improve
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基于无迹卡尔曼滤波的人工神经网络matlab程序-Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter.
This file provides a function for this purpose.
It also includes an exampl
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基于非线性动力系统的无迹卡尔曼滤波matlab程序-onlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems.
The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation.
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MIT博士后Kevin Murphy提供了一个针对卡尔曼滤波的MATLAB工具箱，包含了功能、描述、各种典型滤波器，如粒子滤波、扩展卡尔曼滤波器和无味卡尔曼滤波器等-Kevin Murphy, a postdoc in the MIT AI Lab, provides several MatLab toolboxes, including a Kalman filter toolbox which contains functions and scr ipts for the Kalman fi
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