دورية أكاديمية
Automatic Modulation Recognition Method Based on Multimodal Time-Frequency Feature Fusion
| العنوان: | Automatic Modulation Recognition Method Based on Multimodal Time-Frequency Feature Fusion |
|---|---|
| المؤلفون: | HE Chao, CHEN Jinjie, JIN Zhao, LEI Yinjie |
| المصدر: | Jisuanji kexue, Vol 50, Iss 4, Pp 226-232 (2023) |
| بيانات النشر: | Editorial office of Computer Science, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Computer software LCC:Technology (General) |
| مصطلحات موضوعية: | automatic modulation recognition, cross-modal attention fusion, contrastive learning, residual shrinkage module, complex bidirectional gate recurrent unit, Computer software, QA76.75-76.765, Technology (General), T1-995 |
| الوصف: | Automatic modulation recognition (AMR) is a key technology in cognitive radio and has a wide range of applications in wireless communication.Aiming at the problem that most of the existing automatic modulation classification methods only use the single-modal information in the time domain or frequency domain,ignoring the complementarity between the multi-modal information,a signal modulation classification recognition method based on multimodal time-frequency feature fusion is proposed.First,the time-domain features and frequency-domain features of the signal are aligned by contrastive learning before fusion to reduce the heterogeneity difference.Secondly,cross-modal attention is used to achieve complementary fusion of time-domain features and frequency-domain features.Finally,in order to further improve the overall performance of the model,a residual shrin-kage module is introduced into the frequency domain encoder to extract the frequency domain features of the time-frequency map and the complex bidirectional gated recurrent unit is introduced into the time domain encoder to extract the correlation features between the I and Q signals and the time-domain features.Experimental results on RadioML2016a show that the proposed me-thod has higher recognition accuracy and noise robustness. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Chinese |
| تدمد: | 1002-137X |
| العلاقة: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-4-226.pdfTest; https://doaj.org/toc/1002-137XTest |
| DOI: | 10.11896/jsjkx.220600242 |
| الوصول الحر: | https://doaj.org/article/6c5399dac02c48e0a3082623de0cea6eTest |
| رقم الانضمام: | edsdoj.6c5399dac02c48e0a3082623de0cea6e |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 1002137X |
|---|---|
| DOI: | 10.11896/jsjkx.220600242 |