Shujun Lv

Transformer-based neural network for enhanced radar target classification and intent recognition

This paper proposes a novel Transformer-based neural network architecture specifically designed for radar signal processing that integrates multi-head self-attention mechanisms with temporal convolutional networks to effectively model both local patterns and global dependencies in radar data.