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采用EKF和PF滤波方法对单变量非静态增长模型(UNGM模型)的状态估计仿真

于 2022-03-10 发布 文件大小:18.84 kB
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程序功能  :采用EKF和PF滤波方法对单变量非静态增长模型(UNGM模型)的状态估计仿真(主函数)可调变量  :- Q:  过程噪声协方差- R:  测量噪声协方差 - N:  采样粒子数输出变量  :- Kalman filter RMS:卡尔曼滤波状态估计均方根误差- Particle filter RMS:粒子滤波状态估计均方根误差

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