Fast-slow Time Domain Joint Processing Suppressing Smeared Spectrum Jamming
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摘要: 现有频谱弥散干扰(SMSP)抑制算法以一个长度为雷达发射信号的受干扰回波为处理对象，未涉及相参处理间隔内整体回波。针对此问题，该文以自卫式干扰条件下线性调频(LFM)相参体制雷达抗SMSP干扰为背景，提出快慢时间域联合处理抑制SMSP干扰算法。分析了SMSP干扰时频特征和对相参雷达的干扰特性，在此基础上，设计了慢时间微分熵估计干扰位置，相关系数最大准则估计干扰参数，双正交傅里叶变换快时间分段重构干扰信号和干扰对消的抑制流程。仿真结果表明，所提算法模型与雷达处理流程切合度高，对比分析进一步验证算法效能。Abstract: The existing SMeared SPectrum (SMSP) jamming suppression algorithms take a jammed echo whose length equal to radar transmitting signal as the processing object and do not involve the whole echo within the coherent processing interval. For this problem, a jamming suppression algorithm based on fast and slow time domain joint processing is proposed under the background of Linear Frequency Modulation (LFM) coherent radar countering SMSP jamming. The time and frequency domain characteristics of SMSP are studied and the effect on coherent radar is analyzed on the condition of self screening jamming. On this basis, four processing steps are designed to suppress the SMSP jamming. Firstly, the jamming fast time location is estimated by calculating the differential entropy of slow time signal. Secondly, the real jamming parameter is found based on the maximum correlation coefficient criterion. Then the jamming signals are reconstructed using Biorthogonal Fourier Transform. Finally, the SMSP jamming is suppressed by cancellation. The simulation results show that the proposed algorithm model is highly consistent with the actual radar processing flow, and the efficiency is further verified through algorithms comparison.
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