Phase-time arrays with geometry-aware estimators and neural fusion achieve robust multistatic UAV localization with sub-meter accuracy and low hardware cost.
Integrated sensing and communication for low altitude econ- omy: Opportunities and challenges
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Curriculum-based heterogeneous-agent PPO algorithm yields over 30% better sensing performance than baselines in simulated multi-UAV ISAC tasks.
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Phase-Time Array Enabled Multistatic Sensing with Multi-Level Fusion for UAV Localization
Phase-time arrays with geometry-aware estimators and neural fusion achieve robust multistatic UAV localization with sub-meter accuracy and low hardware cost.
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Curriculum-Guided Heterogeneous Multi-Agent Intelligence for Multi-UAV Cooperative ISAC
Curriculum-based heterogeneous-agent PPO algorithm yields over 30% better sensing performance than baselines in simulated multi-UAV ISAC tasks.