Smart Noise Jamming Suppression Method based on FrFT Filtering
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摘要: 基于数字射频存储器(DRFM)的灵巧噪声干扰兼具压制式干扰效果和欺骗式干扰效果，难以被传统抗干扰方法有效抑制。针对这一问题，本文结合分数阶傅里叶变换(FrFT)与分数阶域滤波方法，提出了一种线性调频脉冲压缩雷达体制下的灵巧噪声干扰抑制方法。首先对接收信号进行分数阶傅里叶变换，随后根据发射信号在分数阶域的特征参数，设计分数阶域滤波器，对接收信号进行分数阶域滤波以滤除干扰，最后进行分数阶反变换还原目标信号。仿真结果表明，该方法能够对卷积噪声干扰与乘积噪声干扰两种典型的灵巧噪声干扰进行有效抑制，准确检测目标的位置。Abstract: Smart noise jamming based on digital radio frequency memory (DRFM) has both oppressive jamming effect and deceptive jamming effect, and is difficult to be effectively suppressed by traditional anti-jamming methods. In order to solve this problem, an anti-jamming method for linear frequency modulation (LFM) pulse compression radar system is proposed. The proposed Method is combined with fractional Fourier Transform (FrFT) and fractional domain filtering strategy. In this method, firstly the received signal is fractional Fourier transformed; then a filter is designed according to the characteristic of transmitting signal in the fractional domain; the received signal is filtered by the designed filter to eliminate jamming; lastly do fractional fourier inverse transformation to restore the target signal. The simulation results show that the method can effectively suppress two kinds of smart noise jamming: convolution noise jamming and multiplication noise jamming, and can accurately detect the position of the target.
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