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Separating weak and strong moving targets using the fractional fourier transform
Separating weak and strong moving targets using the fractional fourier transform
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机译:使用分数傅立叶变换分离弱和强运动目标
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摘要
The Fractional Fourier Transform (FrFT) may be used to extract multiple radar targets in clutter where some targets may be relatively weak. To do this, stronger targets may be removed by rotating to the proper axis ta using rotational parameter a, in which the target signal becomes a strong tone. By searching for the maximum peak over all values of a, stronger moving target echoes can be found and notched out, and weaker targets can then be extracted.
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机译:分数阶傅立叶变换(FrFT)可用于在杂波中提取多个雷达目标,其中一些目标可能相对较弱。为此,可以通过使用旋转参数a旋转到适当的轴t a Sub>来移除更强的目标,在该参数中目标信号变为强音。通过在α的所有值上搜索最大峰值,可以找到较强的目标回波并将其切出,然后可以提取较弱的目标。
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