| 基于自适应Kalman滤波的ADS-B数据抗野值方法 |
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| 引用本文：孟军,马彦恒,董建.基于自适应Kalman滤波的ADS-B数据抗野值方法[J].计算技术与自动化,2012,(4):17-20 |
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| 中文摘要:在对ADS-B数据的实际滤波过程中，观测值中的野值是影响滤波效果的重要因素。分析野值对滤波以及数据处理精度的影响，以“新息”为基础，将基于“当前”统计模型的卡尔曼滤波算法用于数据处理，通过对自适应Kalman滤波方法中增益矩阵的改进，提出野值辨识和剔除方法。仿真计算表明，该方法性能可靠，简单易行，可以有效地消除野值对滤波的不良影响，提高滤波的精度。 |
| 中文关键词:ADS-B 野值 卡尔曼滤波 增益 精度 |
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| The Method of ADS-B Data Restraining Outliers on Self-adaptive Kalman Filter |
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| Abstract:In the actual filter processing of ADS-B data,the outliers in observation is the significant factors in influencing the fliter performance.By analysing the impact of outliers on fliter and data processing precision,through using the “current” statistical model of the Kalman filter algorithm for data processing and improving the gain matrices in self-adaptive Kalman filter,which is based on “innovation”,and presenting a method distinguishing and dealing with outliers.The simulation calculation shows that this method is of reliable performance and easy to operate,it can effectively eliminate the nagative impact of outliers on fliter and improve the accuary |
| keywords:ADS-B outliers the Kalman filter the gain matrices the accuary |
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