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High resolution filtering of RCS measurements

机译:RCS测量的高分辨率过滤

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This paper deals with High Resolution (HR) Filtering. Extracting the frequency dependence of radar scatterers is a common task in Radar Cross Section Analysis (RCS). This is usually achieved with signal processing tools like finite impulse response filters allowing filterig in the range domain. however, when range resolution is poor, it becomes impossible to extract the exact feature since it is not deconvolved in the range domain. We thus propose to use HR methods to overcome these difficulties. These methods are applied to estimate the frequency response of the creeping wave of a small sphere. The results show good agreement with the the-oretical response.
机译:本文涉及高分辨率(HR)过滤。提取雷达散射体的频率相关性是雷达截面分析(RCS)的常见任务。这通常是通过信号处理工具(如有限脉冲响应滤波器)实现的,从而可以在范围域内进行滤波。但是,当距离分辨率较差时,由于它不会在距离域中反卷积,因此无法提取准确的特征。因此,我们建议使用人力资源方法来克服这些困难。这些方法适用于估计小球面蠕变波的频率响应。结果表明与理论响应吻合良好。

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