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

Zhengyu ZHU; Yu LIN; Zixuan WANG; Kexian GONG; Pengfei CHEN; Zhongyong WANG; Jing LIANG

doi:10.11959/j.issn.1000-436x.2022118

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

Papers | 更新时间：2024-06-06

- Fast blind detection of short-wave frequency hopping signal based on MeanShift
- Journal on Communications Vol. 43, Issue 6, Pages: 200-210(2022)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  The National Key Re-search and Development Program of China(2019QY0302);The National Key Research and Development Program of China(2019YFB1803200);The National Natural Science Foundation of China(61922072);The National Natural Science Foundation of China(61901417);China Post-doctoral Science Foundation Project(2020M682345);Henan Postdoctoral Foundation Program(202001015);Program for Science and Technology Innovation Talents in Universities of Henan Province(23HASTIT020)
- DOI：10.11959/j.issn.1000-436x.2022118
  CLC： TN92
- Online First：2022-06，
  
  Published：25 June 2022
- 稿件说明：
移动端阅览
Zhengyu ZHU, Yu LIN, Zixuan WANG, et al. Fast blind detection of short-wave frequency hopping signal based on MeanShift[J]. Journal on Communications, 2022, 43(6): 200-210.
DOI：

Zhengyu ZHU, Yu LIN, Zixuan WANG, et al. Fast blind detection of short-wave frequency hopping signal based on MeanShift[J]. Journal on Communications, 2022, 43(6): 200-210. DOI： 10.11959/j.issn.1000-436x.2022118.

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。

Abstract

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

Keywords

references

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