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Fractional Fourier transform-based chirp radars for countering self-protection frequency-shifting jammers

机译:基于分数傅里叶变换的线性调频雷达,用于对抗自我保护移频干扰器

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摘要

Self-protection deceptive jammers create at the radar receiver output multiple-false targets that are impossible to isolate in both time and frequency domains. In this paper, we introduce a novel technique based on fractional Fourier transform (FrFT) to discriminate between the true target echo and those false targets in the case of frequency-shifting jammers. In fact, we exploit the capability of the FrFT to resolve, in a matched manner, spectra that are overlapping in time and frequency. This is a property that cannot be achieved using a standard matched filter. The theoretical analysis of this technique is presented and its effectiveness is verified by simulation.
机译:具有自我保护作用的欺骗干扰器会在雷达接收器的输出端产生多个错误的目标,这些目标在时域和频域均无法隔离。在本文中,我们介绍了一种基于分数阶傅里叶变换(FrFT)的新颖技术,可在频移干扰情况下区分真实目标回波和那些虚假目标。实际上,我们利用FrFT的能力以匹配的方式解析时间和频率上重叠的光谱。这是使用标准匹配滤波器无法实现的属性。对该技术进行了理论分析,并通过仿真验证了其有效性。

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