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

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DataCite Commons2023-01-13 更新2025-04-16 收录
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https://ieee-dataport.org/documents/novel-statistical-similarity-measure-based-outlier-robust-cubature-kalman-filtering
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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. 
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IEEE DataPort
创建时间:
2023-01-13
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