Channel Interference Sensing Transformer for Spread Spectrum Communications with Attention Mechanism

Spread spectrum techniques have been widely adopted in both military and commercial communications because of their anti-interference and anti-interception properties. However, when the interference power is high and the spread spectrum gain is not sufficient to achieve satisfactory system performance, additional anti-interference techniques need to be employed, and the design of the interference sensing and recognition method is a basic prerequisite of effective interference suppression. In this work, considering the superiority of transformer networks in sequence-related tasks, we propose a novel channel interference sensing method with gated transformer and attention mechanism. The proposed network, consisting of embedding, twin-transformer and gating, is designed by introducing the attention mechanism which focuses on the inter-carrier correlation and real-imaginary correlation of the received spectrum. Simulation results demonstrate the superiority of the proposed method versus other baseline competitors.