The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gaussian distribution data generation function is also included in the main function.

Filename	Size	Update
最大熵滤波算法matlab仿真\CV_CV.eps	59392	2017-07-31
最大熵滤波算法matlab仿真\CV_CV.fig	91302	2017-07-31
最大熵滤波算法matlab仿真\CV_Static.eps	59772	2017-08-10
最大熵滤波算法matlab仿真\CV_Static.fig	101584	2017-08-10
最大熵滤波算法matlab仿真\data1.mat	74096	2017-03-06
最大熵滤波算法matlab仿真\Kalman.m	140	2017-02-20
最大熵滤波算法matlab仿真\main.m	2598	2017-08-10
最大熵滤波算法matlab仿真\main_MixGause.m	2881	2017-08-11
最大熵滤波算法matlab仿真\MCC.m	411	2017-08-10
最大熵滤波算法matlab仿真\MCC_Huber_L2.eps	80467	2017-08-10
最大熵滤波算法matlab仿真\MCC_Huber_L2.fig	134924	2017-08-10
最大熵滤波算法matlab仿真\MCC_Huber_L2_L1.m	431	2017-08-09
最大熵滤波算法matlab仿真\RKF_Huber.m	934	2017-08-11
最大熵滤波算法matlab仿真\RKF_MCC.m	858	2017-08-11
最大熵滤波算法matlab仿真\RKF_MCC1.m	1027	2017-08-01
最大熵滤波算法matlab仿真\RMSE.eps	80520	2017-08-11
最大熵滤波算法matlab仿真\RMSE.fig	146379	2017-08-11
最大熵滤波算法matlab仿真	0	2017-09-08

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