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用于消除虚假目标的啁啾雷达的光子分数傅里叶变换器

Photonic fractional Fourier transformer for chirp radar with ghost target elimination.

作者信息

Han Guanyu, Li Shangyuan, Xue Xiaoxiao, Zheng Xiaoping

出版信息

Opt Lett. 2020 Aug 1;45(15):4228-4231. doi: 10.1364/OL.399386.

Abstract

For the first time, to the best of our knowledge, we propose a photonic fractional Fourier transformer (PFrFTer), which is used in chirp radar for detecting multiple non-cooperative targets. Based on photonic rotation of the time-frequency plane, the optimal fractional Fourier domain is formed, and the received broadband chirp signals are projected on it, where they behave as impulses. Moreover, through manipulating the fractional Fourier transform spectrum, the PFrFTer contributes to the cancellation of two ghost target sources, so that the ghost targets in multiple-target circumstances are removed. The simulation and experimental results show that the proposed PFrFTer can adapt to multiple non-cooperative targets environments and is immune to ghost targets at optimal working conditions, which agrees well with the theoretical analysis.

摘要

据我们所知,我们首次提出了一种光子分数傅里叶变换器(PFrFTer),它用于线性调频雷达中检测多个非合作目标。基于时频平面的光子旋转,形成了最优分数傅里叶域,并将接收到的宽带线性调频信号投影到该域上,此时信号表现为冲激。此外,通过对分数傅里叶变换谱进行操作,PFrFTer有助于消除两个虚假目标源,从而去除多目标情况下的虚假目标。仿真和实验结果表明,所提出的PFrFTer能够适应多个非合作目标环境,并且在最优工作条件下不受虚假目标的影响,这与理论分析结果吻合良好。

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