Space-time-frequency synthetic ISAC fuses multistatic and monostatic observations to tighten CRLBs on position and velocity estimates, with centralized MLE outperforming per-BS estimation plus fusion especially at low SNR.
Scalable Integrated Sensing and Communications for Multi-Target Detection and Tracking in Cell-Free Massive MIMO: A Unified Framework,
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Experimental demonstration of multi-target tracking in real-world ISAC using PHD filter with mean absolute ranging error below 1.5 m and detection rates above 91% in factory scenarios.
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Space-Time-Frequency Synthetic Integrated Sensing and Communication Networks
Space-time-frequency synthetic ISAC fuses multistatic and monostatic observations to tighten CRLBs on position and velocity estimates, with centralized MLE outperforming per-BS estimation plus fusion especially at low SNR.
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Experimental Demonstration of Multi-Target Tracking in Integrated Sensing and Communication
Experimental demonstration of multi-target tracking in real-world ISAC using PHD filter with mean absolute ranging error below 1.5 m and detection rates above 91% in factory scenarios.