基于5G信号的脉压加权相参积累方法

5G信号携带的通信信息导致脉压信号出现大量随机性起伏旁瓣，类似于噪声对脉压信号的干扰，影响了相参积累性能。针对该问题，本文将脉压信号幅度加权的方法应用到基于5G信号的外辐射源雷达系统中，在单发单收的雷达模型基础上，理论分析了5G信号特性及脉压旁瓣起伏性较大原因，推导了脉压幅度加权方法抑制随机性旁瓣的可行性。最后，通过建立距离 多普勒谱，实现对5G信号的相参积累。仿真结果表明该方法能够大幅度降低峰值旁瓣比，可有效实现对脉压旁瓣的抑制。

Coherent Integration with Pulse Compression Amplitude Weighting Based on 5G Signal

The communication information carried by the 5G signal causes a large number of random fluctuation sidelobes in the pulse compression signal, which is similar to the interference of noise on the pulse compression signal and affects the performance of coherent integration. Aiming at the situation, the method of weighting the signal amplitude of pulse compression is applied to the passive radar system based on 5G signal in this paper. Based on the single-transmitting and single-receiving radar model, the 5G signal characteristics and the reasons of the large fluctuations of the pulse compression sidelobes are theoretically analyzed and the feasibility of the pulse compression with amplitude weighting to suppress random sidelobes is derived. Finally, the coherent integration of 5G signals is realized by establishing a range-Doppler spectrum. The simulation results show that this method can greatly reduce the peak sidelobe ratio and can effectively suppress the pulse compression sidelobes.