基于MeanShift的短波跳频信号快速盲检测

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

Abstract

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.

Key words: connected domain labeling, frequency hopping signal, fast blind detection, MeanShift, time-frequency analysis

CLC Number:

TN92

Zhengyu ZHU, Yu LIN, Zixuan WANG, Kexian GONG, Pengfei CHEN, Zhongyong WANG, Jing LIANG. Fast blind detection of short-wave frequency hopping signal based on MeanShift[J]. Journal on Communications, 2022, 43(6): 200-210.

Figures/Tables 17

References 27

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算法	时频分析	预处理	数据集个数	聚类分析
本文算法	MN	MN	n	O(n ²d₁)
文献[21]算法	MN	MN	N	O(kNd ₂)
文献[23]算法	(MN)²	MN	2n	O(k2nd ₃)

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

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