雷达探测数据野值剔除方法
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Method for Removing Outliers from Radar Detection Data
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    摘要:

    为提升雷达探测精度评估中雷达探测导弹目标数据的质量,提出基于滑窗的均值和中值剔除法,并将其 与基于滑窗的多项式拟合法和模板卷积法进行对比分析。通过以3 倍的均方误差作为门限,设置合适的窗口长度, 选取基于窗口滑动的均值或中值剔除法。测试结果表明:2 种方法均可更有效地剔除雷达探测导弹目标数据中的野 值,为后续弹道还原和数据评估提供了有效支撑。

    Abstract:

    In order to improve the quality of radar detection missile target data in radar detection accuracy evaluation, the mean and median elimination method based on sliding window is proposed, and it is compared with the polynomial fitting method and template convolution method based on sliding window. By taking three times of the mean square error as the threshold and setting the appropriate window length, the mean or median elimination method based on window sliding is selected. The test results show that the 2 methods can effectively eliminate the outliers in the radar detected missile target data, and provide effective support for the subsequent trajectory restoration and data evaluation.

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引用本文

秦晓珊.雷达探测数据野值剔除方法[J].,2022,41(1).

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  • 收稿日期:2021-09-29
  • 最后修改日期:2021-10-28
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  • 在线发布日期: 2022-01-11
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