郑州大学学报（工学版）2025，Vol.46Issue(5)：43-50,8.DOI:10.13705/j.issn.1671-6833.2025.05.008
基于改进YOLOv5s干扰跳频信号调制识别
Modulation Recognition of Frequency Hopping Signal under Interference Based on Improved YOLOv5s
摘要
Abstract
In complex electromagnetic environments,interference signals can severely degrade the detection and recognition performance of frequency-hopping signals.To address issues of false detection,missed detection,and over-detection in traditional methods,in this study an improved time-frequency diagram-based signal detection and recognition algorithm was proposed by modifying the YOLOv5s network.Firstly,a composite dataset containing fre-quency hopping signals+interference signals was constructed,comprising 4 modulation types of frequency hopping signals and 6 interference types,with 300 high-resolution time-frequency diagram samples generated for each com-bination(totaling 7 200 groups).Secondly,considering the similar features between interference and signals in time-frequency diagrams,and recognizing that the frequency variation pattern of hopping signals could make back-ground information around signals crucial for differentiation,a context hierarchy module was proposed to hierar-chically process background information.This module employed depthwise separable convolution to extract sur-rounding background features and utilized a gated aggregation mechanism to perform weighted fusion of background information and signal features,thereby generating more discriminative composite features.Finally,the backbone network of YOLOv5s was modified by integrating the context hierarchy module and gated aggregation mechanism to develop an improved frequency hopping signal detector.Simulation results showed that compared with the original YOLOv5s network,the proposed method achieved 15.9 percentage points improvement in recall rate R,8.9 per-centage points enhancement in mean average precision mAP@0.5∶0.95,and 9 percentage points increase in F1,while significantly reducing false and missed detection occurrences.关键词
跳频信号/信号检测/信号识别/干扰信号/YOLOv5sKey words
frequency hopping signal/signal detection/signal recognition/interference signal/YOLOv5s分类
信息技术与安全科学引用本文复制引用
张海宾,魏洪基,王超,向长波,杨明洋,李晓龙..基于改进YOLOv5s干扰跳频信号调制识别[J].郑州大学学报（工学版）,2025,46(5):43-50,8.基金项目
国防基础科研计划资助(JCKY2021608B001) （JCKY2021608B001）
