基于MeanShift的短波跳频信号快速盲检测  

Fast blind detection of short-wave frequency hopping signal based on MeanShift

作　　者：朱政宇[1,2,3] 林宇 王梓晅 巩克现 陈鹏飞 王忠勇[1] 梁静[1,3] ZHU Zhengyu;LIN Yu;WANG Zixuan;GONG Kexian;CHEN Pengfei;WANG Zhongyong;LIANG Jing(School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou 450001,China;National Center for International Joint Research of Electronic Materials and Systems,Zhengzhou University,Zhengzhou 450001,China;Joint International Laboratory of Intelligent Network and Data Analysis in Henan Province,Zhengzhou 450001,China)

机构地区：[1]郑州大学电气与信息工程学院,河南郑州450001 [2]郑州大学电子材料与系统国际联合研究中心,河南郑州450001 [3]河南省智能网络和数据分析国际联合实验室,河南郑州450001

出　　处：《通信学报》2022年第6期200-210,共11页Journal on Communications

基　　金：国家重点研发计划基金资助项目(No.2019QY0302,No.2019YFB1803200);国家自然科学基金资助项目(No.61922072,No.61901417);中国博士后科学基金资助项目(No.2020M682345);河南省博士后经费资助项目(No.202001015);河南省高校科技创新人才支持计划资助项目(No.23HASTIT020)。

摘　　要：在复杂的短波信道环境下,为了降低各种干扰信号和噪声对跳频信号的影响,实现低信噪比下跳频信号盲检测,结合时频分析技术,提出一种基于MeanShift算法的连通域标记跳频信号快速盲检测算法。首先,对信道环境灰度时频图进行二次灰度形态学滤波得到二值化时频图。其次,通过连通域标记算法,计算信号最大持续时长。再次,利用MeanShift算法对信号最大持续时长进行聚类分析。最后,结合自适应双门限对聚类结果进行二次判决。仿真结果表明,在无任何先验信息的情况下,所提算法能够在低信噪比下快速分离各种干扰信号与尖锐噪声,实现跳频信号快速盲检测,检测概率较高,在短波信道环境下抗干扰能力较强,计算复杂度较低,具有较高的工程实用价值。In the complex short-wave channel environment,combined with time-frequency analysis technology,a fast blind detection algorithm of the connected domain labeled frequency hopping signals based on MeanShift algorithm was proposed to reduce the influence of various interference signals and noises on frequency hopping signals and realize blind detection of frequency hopping signals under low signal-to-noise ratio.Firstly,the channel environment gray-scale time-frequency map was filtered by the secondary gray-scale morphology to obtain the binary time-frequency map.Secondly,the maximum duration of the signal was calculated by the connected domain labeling algorithm.Then,the MeanShift algorithm was used to cluster the maximum duration of the signal.Finally,the clustering result was made a second judgment by combining with the adaptive double threshold.The simulation results show that the proposed algorithm can quickly separate various interference signals and sharp noise under low signal-to-noise ratio,and realize fast blind detection of frequency hopping signals without any prior information.It has high detection probability,strong anti-interference ability in short-wave channel environment,low computational complexity and high engineering practical value.

关 键 词：连通域标记 跳频信号 快速盲检测 MEANSHIFT 时频分析 

分 类 号：TN92[电子电信—通信与信息系统]