新闻 · arXiv cs.AI

DKDNet: Dual Knowledge and Data-Driven Network for Cross-Domain Automatic Modulation Classification

The dynamics of communication environments induce significant distribution shifts across domains, challenging the generalization of deep learning-based automatic modulation classification (AMC) models. While existing UDA methods alleviate this problem by aligning source and target features, they give limited consideration to modulation-specific structures that remain informative across domain conditions. In this paper, we consider signal prior knowledge, grounded in communication protocols and…