基于多模态特征正交化自适应融合的通信信号调制识别方法
The communication signal modulation recognition method based on orthogonal adaptive fusion of multimodal features solves the limitations and redundancy of single-modal features in existing technologies, improves the accuracy and robustness of modulation recognition, adapts to complex communication environments, and achieves efficient feature representation and classification performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN JIUZHOU SOFTWARE CO LTD
- Filing Date
- 2025-02-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing communication signal modulation recognition methods suffer from limitations of single-mode features, redundancy and interference between modal features, lack of efficient feature fusion strategies, and single model optimization objectives, resulting in insufficient recognition performance in complex communication environments.
A multimodal feature orthogonalization adaptive fusion strategy is adopted. By constructing a feature extractor for IQ time-domain signals and amplitude/phase information, combined with an adaptive feature fusion module with dynamic weight allocation, and using an orthogonalized loss function and dynamic learning rate adjustment, the model training process is optimized, thereby improving the integrity of feature representation and classification performance.
It improves the accuracy and robustness of communication signal modulation recognition, enhances the model's adaptability and generalization ability in complex environments, and provides a reliable recognition scheme, especially in low signal-to-noise ratio and multipath interference scenarios.
Smart Images
Figure CN120075004B_ABST