信息工程大学学报2025，Vol.26Issue(5)：512-519,8.DOI:10.3969/j.issn.1671-0673.2025.05.002
多特征融合的时频混叠信号调制识别方法
Multi-feature Fusion Modulation Recognition for Time-Frequency Overlapped Signals
摘要
Abstract
To address modulation recognition of multi-source time-frequency overlapped signals in non-cooperative wideband reception scenarios this issue,a multi-feature fusion-based modulation recogni-tion method is proposed.Firstly,an improved DeepLabV3+architecture is adopted,where the core in-novation is embedding deformable atrous convolution into the atrous spatial pyramid pooling module,thereby enhancing dense focusing capability on signal energy core regions.Secondly,in the network multi-modal features are integrated simultaneously from both time-frequency and time-domain repre-sentations,improving recognition robustness through cross-modal feature complementarity.Finally,an end-to-end joint optimization framework is constructed to achieve efficient collaborative learning of multiple features.Experimental results demonstrate that under conditions of high aliasing and low sig-nal-to-noise ratio,the average recognition accuracy of this method for 9 types of single signals and 21 types of aliase dsignals reaches 97.4%,which is 15.1 percentage points higher than that of the single-modal method,which validates the superiority of the multi-modal fusionstrategy.关键词
多特征融合/时频图/波频图/多模态/调制识别Key words
multi-modal fusion/time-frequency graph/waveform frequency graph/multimodal/modulation recognition分类
电子信息工程引用本文复制引用
潘宏怡,李立春,张海龙,李伟年..多特征融合的时频混叠信号调制识别方法[J].信息工程大学学报,2025,26(5):512-519,8.
