基于预估-反馈联合处理的射频噪声干扰抑制算法

针对强射频（RF）噪声干扰下脉压雷达目标检测概率较低的问题，提出了一种基于预估-反馈联合处理的射频噪声干扰抑制算法。首先，对回波信号进行盲源分离预处理，并利用分数阶傅里叶变换（FRFT）的特性对目标回波信号进行参数估计以及窄带滤波处理，滤除大部分干扰和噪声的能量；然后，在数据层运用M/N逻辑法进行点迹处理，并结合径向速度方向判决，实现对目标航迹的预估检测；最后，利用数据层对航迹状态的反馈实时修正滤波器参数，从而在信号层更好地滤除干扰能量，并对中断航迹进行剔除，完成射频噪声干扰的抑制。仿真结果表明：与现有射频噪声干扰抑制技术相比，所提算法具有更优的干扰抑制效果。

Radio frequency noise interference suppression based on estimation-feedback integration

To overcome the problem low probability of detection of pulse radar under strong Radio Frequency (RF) noise interference, a radio frequency noise interference suppression technique is proposed based on estimation-feedback integration. Firstly, pretreatment of the blind source separation is performed for the echo signal. The parameters of the target echo signal are estimated according to the characteristics of FRactional Fourier Transform (FRFT), and the narrowband filter is used to filter out most of the interference and noise energy. Then, using the M/N logic method to perform the trace processing in the data layer, and combining the radial velocity direction, detection of target track prediction is realized. Finally, using the data layer of track state feedback real-time correction filter parameters, the interference energy is better filtered out in the signal layer and the interrupt track is also filtered out to complete RF jamming suppression. The simulation results show that the algorithm proposed has better interference suppression effect compared with existing RF noise interference suppression techniques.