The paper delivers the first comprehensive survey of MIMO OFDM-based ISAC for low-altitude non-cooperative UAV surveillance, covering system modeling, detection and tracking, identification methods, experimental validations, open challenges, and future directions toward 5G-A and 6G.
Attention is all you need
5 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 5verdicts
UNVERDICTED 5representative citing papers
TERDNet introduces a transformer-encoder recurrent-decoder architecture for scene change detection that outperforms prior models on public benchmarks.
MUSE applies Mamba sequential modeling to produce real-time uncertainty estimates for visual-inertial state estimation from asynchronous multimodal sensors.
Graph-based spatio-temporal models built from aggregated crypto market data detect pump-and-dump schemes more effectively than standard machine learning baselines.
The paper overviews attention-based learning methods for spectrum cartography in LEO satellite networks to enable adaptive fusion of heterogeneous measurements for inference and resource allocation.
citing papers explorer
-
MIMO OFDM-Enabled ISAC for Low-Altitude Non-Cooperative UAV Surveillance: A Survey
The paper delivers the first comprehensive survey of MIMO OFDM-based ISAC for low-altitude non-cooperative UAV surveillance, covering system modeling, detection and tracking, identification methods, experimental validations, open challenges, and future directions toward 5G-A and 6G.