| 最佳自适应无迹卡尔曼滤波算法应用研究 |
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| 引用本文： | 曹后龙.最佳自适应无迹卡尔曼滤波算法应用研究[J].城市勘测,2022(1):80-83. |
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| 作者姓名： | 曹后龙 |
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| 作者单位： | 上海核工程研究设计院有限公司,上海 200233 |
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| 摘 要： | 在无迹卡尔曼滤波的实际应用中,前一时刻状态参数估值异常误差和动力学模型异常误差通过状态转移方程影响预测状态信息,从而直接影响滤波解的精度.将最佳自适应因子引入无迹卡尔曼滤波中,得到最佳自适应无迹卡尔曼滤波,通过最佳自适应因子来调节预测状态向量的协方差矩阵,即调整预测状态信息对滤波解的贡献,从而可以控制前一时刻状态参数估...
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| 关 键 词： | 非线性滤波 无迹卡尔曼滤波 最佳自适应因子 |
Application of Optimal Adaptive UKFAlgorithm |
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| Cao Houlong.Application of Optimal Adaptive UKFAlgorithm[J].Urban Geotechnical Investigation & Surveying,2022(1):80-83. |
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| Authors: | Cao Houlong |
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| Affiliation: | (Shanghai Nuclear Engineering Research & Design Institute Co.,Ltd.,Shanghai 200233,China) |
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| Abstract: | In the practical application of Unscented Kalman Filter(UKF),a moment before state parameter value exception error and dynamic model error by state equation of impact prediction information,which directly affect the accuracy of filtering solution.Introduce the optimal adaptive factor in UKF,get the optimal adaptive UKF,through the best adaptive factor to adjust the covariance matrix of forecasting state vector,adjusting state information that’s contribution to the filtering solution,which can control the moment before state parameter value exception error and dynamic model error influence on filtering solution,improve the accuracy of filtering solution. |
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| Keywords: | Nonlinear filter UKF Optimal adaptive factor |
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