摘要
由于试验环境和被测目标运动特性的影响,航迹测量数据中会出现斑点型异值。对最小二乘多项式进行改进,引进自适应调节函数和滑动窗口概念,提出了滑动多项式容错辨识算法,详细描述了采用该方法进行异值辨识和修复的具体过程。仿真分析和实际飞行试验的数据处理表明:该方法对处理含有斑点型异值的测量数据具有良好的效果。
Trajectory data may contain outliers properties of the tracked objects. So a new method is of self adjustment and concept of sliding windows are with the presente introduc influence of test environment and motion d to improve least square,and the function ed. Then a fault-tolerant sliding algorithm, and the main procedure of identification and remove of outliers are provided which is discussed detailedly and applied to a series of outliers identification. Simulation analysis and data processing of actual flight test indicate that this method is a good way for processing of measurement data with a series of outliers.
出处
《现代防御技术》
北大核心
2007年第1期37-40,91,共5页
Modern Defence Technology
基金
航空基金(03I30003)
关键词
异值识别
滑动容错估计
航迹数据处理
identification of outlier
Fault-tolerant Sliding Estimators
trajectory data processing
