基于密度聚类的目标全向RCS统计特性提取方法研究

    A study on Omnidirectional RCS Statistical Feature Extraction Method Based on Density-based Clustering

    • 摘要: 文中以实测雷达散射截面积(RCS)数据为样本,在充分考虑实测RCS分布特征的基础上,通过密度聚类动态剔除异常点方式,有效克服雷达实测RCS起伏对统计结果的影响,实现了目标全向RCS特性的有效提取,并通过采集雷达实测数据对方法的有效性进行了验证。

       

      Abstract: This paper uses measured radar cross-section(RCS) data as samples. By fully considering the distribution characteristics of the measured RCS data and dynamically eliminating outliers through the density clustering method, it effectively overcomes the impact of RCS fluctuations on statistical results. The method successfully extracts the omnidirectional RCS characteristics of aircraft. The effectiveness of the method was verified by collecting actual radar measurement data.

       

    /

    返回文章
    返回