23 citations · 34 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…