基于改进模板匹配的多跳频信号参数估计  

Parameter Estimation of Multiple Frequency Hopping Signals Based on Improved Template Matching

作　　者：周瑞聪 鲜果 龚晓峰[1] ZHOU Ruicong;XIAN Guo;GONG Xiaofeng(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;Chengdu Dagongbochuang Information Technology Co.,Ltd.,Chengdu 610065,China)

机构地区：[1]四川大学电气工程学院,成都610065 [2]成都大公博创信息技术有限公司,成都610065

出　　处：《电子信息对抗技术》2024年第1期30-36,共7页Electronic Information Warfare Technology

基　　金：四川省重点研发项目(2020YFG0051);校企合作项目(19H1121,17H1199)。

摘　　要：为解决复杂环境下,同一频段、同一采样时间内多跳频信号分离困难与特征参数估计精度较低的问题,提出了一种改进模板匹配算法。首先,根据干扰信号和噪声的时频特征进行滤波。然后,采用K-means算法对连通域进行预分类,对于可能存在跳频信号混叠的连通域,由跳频信号簇生成相应的模板并进行改进模板匹配,将成功分离的跳频信号归类入相应的簇。最后,对每一个簇的跳频信号参数进行估计,并通过最小二乘法进行修正。实验结果表明,与连通域标记算法相比,所提方法在信噪比高于-3 dB的情况下,平均相对误差低于0.01,鲁棒性较好,有较高的工程价值。In order to solve the problems of separation difficulty and low accuracy of characteristic parameter estimation of multiple frequency hopping(FH)signals in the same frequency band and same sampling time in complex environment,an improved template matching algorithm is proposed.Firstly,filtering is carried out according to the time-frequency characteristics of interference signal and noise.Then,the K-means algorithm is used to preclassify the connected domains.For the connected domains where the FH signals may be mixed,improved template matching is performed by template which formed from clusters of frequency-hopping signals,and the successful separation signals are classified into the corresponding cluster.Finally,the FH signal parameters of each cluster are estimated and modified by the least square estimation(LSE).Experimental results show that,compared with connected domain labeling algorithm,the average relative error of this method is less than 0.01 when the signal-to-noise ratio(SNR)is higher than-3 dB.The proposed method is robust and valuable for engineering application.

关 键 词：跳频信号 信号混叠 参数估计 模板匹配 最小二乘 

分 类 号：TN911.73[电子电信—通信与信息系统]