Quality-Aware Denoising of Ultra-Short TDoA Measurements for 5G-NR UAV Localization

arXiv 2604.08734•2d70737eaed9a58545b767309a3962eb74c83883f646047cbbaa79612b268183
5G-NRAGESBEACONCDiTFisher Information DensityGDPRISACMIMO-OFDMPrivacy Leak RatioRISTDoAUAV localizationartificial noiseautomatic modulation classificationbackscatter communication','direct-link suppression','satelliteMbeamformingchannel estimationdenoisingdiffusion modelsearly-exitedge/IoT inferenceliquid crystal RISsecure communicationstrajectory privacywideband

Paper metadata

arXiv ID
2604.08734
Version
Not specified by this published record
Category
Electrical Engineering and Systems Science — Signal Processing (eess.SP)

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Evidence and limitations

Source ID
arxiv_eess_sp
Record identifier
2d70737eaed9a58545b767309a3962eb74c83883f646047cbbaa79612b268183
Enrichment time
2026-04-13T08:51:42Z
AI-assisted enrichment
Yes

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Quality-Aware Denoising of Ultra-Short TDoA Measurements for 5G-NR UAV Localization · Baitaphish