基于时频表示的属性散射中心提取方法

Lu Tongtong, He Xinyi, Wang Shuang, Shi Guochang, Xie Bing, Zhang Runjun, Jing Haitao
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引用次数: 0

摘要

本文提出了一种提取雷达模型属性散射中心(ASC)的新方法,该方法可以仅用单频扫角RCS数据提取雷达模型属性散射中心。为了分析时频表示(TFR)中的多普勒频率特性,我们采用光滑伪Wigner Ville分布(SPWVD)来分析局部散射中心(LSC)和分布散射中心(DSC)。利用逆Radon变换(IRT)对LSC模型进行参数估计,直接从TFR中计算DSC参数,并将散射中心结果与目标模型进行图中比较,利用ASC模型重建RCS,结果表明该方法能够有效、准确地提取散射中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attribute Scattering Center Extracting Method Based on Time-Frequency Representations
This article presents a new approach to extract attribute scattering center (ASC) of radar model, which can extract ASC with only single frequency sweep angle RCS data. In order to analyze Doppler frequency characteristics in time-frequency representations (TFR), we use smooth pseudo Wigner Ville distribution(SPWVD) to analyze local scattering center (LSC) and distribute scattering center (DSC). Inverse Radon transform (IRT) is used to estimate parameters in LSC model, and DSC parameters are directly calculated from TFR, and the scatter center results are compared with target model in a figure, and RCS is rebuilt with ASC model, which show this method can extract scattering center in a effectively and accurate way.
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