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Detection of moving target based on fractional Fourier transform in SAR clutter

机译:SAR杂波中基于分数阶傅里叶变换的运动目标检测

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Based on the analysis of the characteristics of SAR target echo and the time excursion of fractional Fourier transform (FRFT), the Article has put forward a time-delay balance method based on FRFT to detect the slowly moving target in SAR echo according to the characteristics of SAR ground clutter. Calculation on the FRFT of echo signal and the FRFT of echo signal after short delay time results in two complex signals, in which, the modules of static backgrounds are just totally same, and in the range of moving target, the amplitude of module will cause an offset, therefore, when calculate the difference of the modules of two complex signals, the static background could be balanced and the moving target could be detected effectively. Simulation analysis indicates that the method in the Article shows its advantages in a background with strong clutter.
机译:在分析SAR目标回波特征和分数阶傅立叶变换时间偏移的基础上,提出了一种基于FRFT的时延平衡方法,根据特征检测SAR回波中缓慢移动的目标。 SAR地面杂波。计算回波信号的FRFT和短延时后的回波信号的FRFT会产生两个复杂的信号,其中,静态背景的模块完全相同,并且在运动目标的范围内,模块的振幅会导致因此,在计算两个复杂信号的模数之差时,可以平衡静态背景并有效地检测运动目标。仿真分析表明,本文的方法在杂乱无章的背景下显示出其优势。

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