3 papers
eess.SP2026
Parameter Convergence Radar Detector Based on VAMP Deep Unfolding
Haoyun Zhang, Jianghong Han, Xueqian Wang +2
Compared with the sparse recovery process in traditional compressed sensing (CS) radar detector CAMP, vector AMP deep unfolding (VAMP-DU) can achieve sparse recovery over a broader…
eess.SP2025
When marine radar target detection meets pretrained large language models
Qiying Hu, Linping Zhang, Xueqian Wang +3
Deep learning (DL) methods are widely used to extract high-dimensional patterns from the sequence features of radar echo signals. However, conventional DL algorithms face challenge…
eess.SP2025
A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding
Haoyun Zhang, Chengyang Zhang, Xueqian Wang +2
The combination of deep unfolding with vector approximate message passing (VAMP) algorithm, results in faster convergence and higher sparse recovery accuracy than traditional compr…