| 基于小波变换的着舰引导雷达数据剔野算法 |
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| 引用本文： | 桑德一,赵建军,姚 刚,任 喜. 基于小波变换的着舰引导雷达数据剔野算法[J]. 现代电子技术, 2014, 0(13): 26-29 |
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| 作者姓名： | 桑德一 赵建军 姚 刚 任 喜 |
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| 作者单位： | 海军航空工程学院,山东烟台264001 |
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| 摘 要： | 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。
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| 关 键 词： | 着舰引导雷达 小波变换 3σ准则 剔野 |
Wavelet-based algorithm for outliers excluding of landing guidance radar data |
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| SANG De-yi,ZHAO Jian-jun,YAO Gang,REN Xi. Wavelet-based algorithm for outliers excluding of landing guidance radar data[J]. Modern Electronic Technique, 2014, 0(13): 26-29 |
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| Authors: | SANG De-yi ZHAO Jian-jun YAO Gang REN Xi |
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| Affiliation: | (Naval Aeronautical Engineering Academy, Yantai 264001, China) |
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| Abstract: | 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. |
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| Keywords: | landing guidance radar wavelet transform 3σcriterion outlier excluding |
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