CAJ | 학술논문

在着舰引导雷达的标校过程中，产生的数据包含带趋势项的野值，它不能简单地根据某种统计算法予以剔除。根据小波变换和莱以特理论，提出了一种小波变换与莱以特准则结合的剔野算法，该算法先用小波变换去除数据的趋势项，然后根据莱以特准则剔除剩余数据的野值，最后合并趋势项，实现了着舰引导雷达数据带趋势项的野值剔除。
재착함인도뢰체적표교과정중，산생적수거포함대추세항적야치，타불능간단지근거모충통계산법여이척제。근거소파변환화래이특이론，제출료일충소파변환여래이특준칙결합적척야산법，해산법선용소파변환거제수거적추세항，연후근거래이특준칙척제잉여수거적야치，최후합병추세항，실현료착함인도뢰체수거대추세항적야치척제。
The data generated in the calibration of the landing guidance radar contain outliers with a trend item,which can not simply be removed according to some statistical algorithms. An outlier excluding algorithm combining wavelet transform and 3σ criterion is proposed based on analysis of the wavelet transform and 3σcriterion. The algorithm uses wavelet transform to re-move the trend item of data first,excludes outliers of the remaining data according to 3σ criterion,and then mergers the trend item to achieve the outliers excluding of landing guidance radar data with trend items.