A Novel Statistical Similarity Measure-Based Outlier-Robust Cubature Kalman Filtering Framework Applied for Underwater Vehicle

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Abstract 

These data is state estimation accuracy of the proposed algorithm.

These data includes the position estimation accuracy and velocity estimation accuracy of the algorithm.

The data are explained below:

rmse_ckf_1 and rmse_ckf_2 are the position accuracy and speed accuracy of CKF,respectively.

rmse_ukf_1 and rmse_ukf_2 are the position accuracy and speed accuracy of UKF,respectively.

rmse_ssmckf1_2 and rmse_ssmckf1_2 are the position accuracy and speed accuracy of SSM-RCKF when the similarity function is selected as exponentiac function, respectively.

rmse_ssmckf2_2 and rmse_ssmckf2_2 are the position accuracy and speed accuracy of SSM-RCKF when the similarity function is selected as logarithmic function, respectively.

rmse_ssmckf3_2 and rmse_ssmckf3_2 are the position accuracy and speed accuracy of SSM-RCKF when the similarity function is selected as square-roots function, respectively.

 

Instructions: 

These data is state estimation accuracy of the proposed algorithm.

These data includes the position estimation accuracy and velocity estimation accuracy of the algorithm.

The data are explained below:

rmse_ckf_1 and rmse_ckf_2 are the position accuracy and speed accuracy of CKF,respectively.

rmse_ukf_1 and rmse_ukf_2 are the position accuracy and speed accuracy of UKF,respectively.

rmse_ssmckf1_2 and rmse_ssmckf1_2 are the position accuracy and speed accuracy of SSM-RCKF when the similarity function is selected as exponentiac function, respectively.

rmse_ssmckf2_2 and rmse_ssmckf2_2 are the position accuracy and speed accuracy of SSM-RCKF when the similarity function is selected as logarithmic function, respectively.

rmse_ssmckf3_2 and rmse_ssmckf3_2 are the position accuracy and speed accuracy of SSM-RCKF when the similarity function is selected as square-roots function, respectively.