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eess.SP2026
Discover Fast Power Allocation Solution for Multi-Target Tracking via AlphaEvolve Evolution
Zhenkang Hou, Wenqiang Pu, Junkun Yan +2
Efficient radar resource allocation is a fundamental yet computationally challenging problem, as optimal solutions typically require iterative optimization with high complexity. Mo…
eess.SP2026
Learning an Opponent-aware Anti-jamming Strategy via Online Convex Optimization
Liangqi Liu, Wenqiang Pu, Yingru Li +1
The dynamic competition against intelligent jammer systems presents a significant challenge to modern radar. Traditional active anti-jamming strategy learning methods often suffer…
eess.SP2024
Radar Anti-jamming Strategy Learning via Domain-knowledge Enhanced Online Convex Optimization
Liangqi Liu, Wenqiang Pu, Yingru Li +2
The dynamic competition between radar and jammer systems presents a significant challenge for modern Electronic Warfare (EW), as current active learning approaches still lack sampl…