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基于多项式最小二乘算法的剔粗差研究

     

摘要

在飞行试验数据粗大误差处理研究中,在野值处理的算法中,采用多项式最小二乘曲线拟合算法,得到数据噪声误差方差的统计特性,以拉依尔准则为依据,首次提出使用判别野值的动态门限,来判定出野值点,并予以剔除,然后按统计特性进行补值处理,反复处理,直至野值处理完.消除各类各组飞行试验数据粗大误差,得到无粗差的飞行试验数据结果.%The introduction of the full paper discusses relevant matters and then proposes the research mentioned in the title. Sections 1, 2 and 3 present the method of pretreatment of flight research data, which is the main and core result of our research, and its evaluation. Section 1 is entitled the elimination of intolerable errors contained in flight research data. Section 2 presents a four-step procedure for eliminating the intolerable errors contained in flight research data; this proedudure is repeated as long as is necessary. Section 3 presents the results obtained with our method of pretreatment for a certain aircraft in Figs. 1 and 2 and Table 1 and then analyzes them. The results and their analysis show preliminarily that our pretreatment method is effective in eliminating the intolerable errors contained in flight research data.

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