一种基于失配滤波的5G模糊函数副峰抑制技术

5G信号具有大带宽、高载频、发射资源丰富等优点，在城市或郊区等区域低空目标探测领域具有广阔的应用前景。但5G信号中包含的同步信号、控制信号等确定性信号导致其模糊函数并不是理想的图钉状，而是存在较多的模糊副峰，严重制约了5G辐射源雷达的探测性能。针对上述问题，首先深入分析了5G信号模糊函数特性及副峰产生机理，然后在副峰认知的基础上提出一种基于失配滤波的5G模糊函数副峰抑制方法。理论分析和仿真结果表明，所提方法可实现对距离与频域维副峰一体化抑制，从而能有效减少5G辐射源雷达目标探测过程中由副峰产生的虚警和漏警。

A Sub-peak Suppression Technique of 5G Ambiguity Function Based on Mismatch Filtering

With the advantages of wide bandwidth,high carrier frequency and rich transmission resources,5G based passive bistatic radar(PBR) has broad application prospects in the field of low altitude target detection in cities or suburbs.However,the deterministic signals such as synchronization and control signal lead to many sub-peaks within 5G ambiguity function,which seriously limits the detection performance of 5G PBR.For above problems,the authors analyze the characteristics of the 5G signal ambiguity function and the generation mechanism of sub-peaks,and then propose a mismatch filtering method to suppress the sub-peak of 5G ambiguity function according to the recognition of sub-peaks.Theoretical analysis and simulation results show that the proposed method can suppress the range and frequency-domain sub-peaks,thus effectively reducing the false alarm and missing detection probability generated by the sub-peaks in the target detection process of 5G PBR.