The_nonlinear_filtering_algorithm_performance_anal

代码说明：

  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 filter and insensitive extended Kalman filter model of particle filter, the suitable conditions, performance is analyzed and compared, given computational complexity of each method. Through a nonlinear non-Gaussian model was simulated to verify the performance of these algorithms.)

文件列表：

非线性滤波算法的性能分析.pdf,278894,2010-06-02