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.
Integrating sensing and communi- cations for ubiquitous IoT: Applications, trends, and challenges
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An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.
Derives closed-form CRLB for single-target OFDM-ISAC sparse allocation and proves zero-padded periodogram is asymptotically optimal ML, while using autocorrelation to create virtual resources with larger bandwidth for multi-target cases.
citing papers explorer
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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.
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Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.
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CRLB and Parameter Estimation for OFDM-ISAC with Non-Uniform Sparse Resource Allocation
Derives closed-form CRLB for single-target OFDM-ISAC sparse allocation and proves zero-padded periodogram is asymptotically optimal ML, while using autocorrelation to create virtual resources with larger bandwidth for multi-target cases.