一种用于高动态侦收的测控信号谱相关预分类方法  

A spectrum-correlated sorting method of measurement and control communication signal in high dynamic situation

作　　者：王俊文[1] 贾可新 王盼盼 Wang Junwen;Jia Kexin;Wang Panpan(The 38th Research Institute of CETC,Hefei 230088,Anhui,China)

机构地区：[1]中国电子科技集团公司第三十八研究所,安徽合肥230088

出　　处：《航天电子对抗》2023年第4期28-33,共6页Aerospace Electronic Warfare

摘　　要：针对高动态侦收环境下测控信号的预分类问题,提出了一种对高动态环境不敏感的谱相关预分类方法。该方法对搜索波束输出数据进行频谱估计、谱相关检测和参数估计,可截获远距离、低信噪比的测控信号。对于近距离、高信噪比的测控信号,直接进行频域恒虚警检测、信号参数估计和谱相关比较处理。同时根据设定的过滤准则,剔除干扰信号,保留感兴趣的测控信号,并对其进行实时跟踪。仿真表明该方法在高动态条件下能够高概率地对测控信号进行预分类。To solve the sorting problem of measurement and control communication(MCC)signal,a spectrum-correlated sorting method,insensitive to high dynamic situation,is proposed.This method performs spectrum estimation,spectrum-correlated detect and estimation on the search beam output data,and can intercept fardistance MCC signals with low signal-to-noise ratio(SNR).For the MCC signals with high SNR and close-distance,the constant false alarm rate(CFAR)detection in frequency domain,signal parameter estimation and spectrum-correlated comparison are directly carried out.At the same time,according to the set filtering criteria,the interference signal is rejected,and the interesting MCC signals is retained and tracked in real time.Both simulation and practical experiments show that this method can sort the MCC signals with high probability in high dynamic situation.

关 键 词：测控信号 低信噪比 高动态 谱相关分类 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]