FMCW Lidar Beyond Nyquist by Instantaneous Frequency Fitting

2026-05-15T08:51:41Z5bfcdd75752863d02fb37c17b114af87f644d475b9ab01f5fa385933c1fe909d
FMCW lidarIntegrated Sensing and Communications (ISAC)MU-MIMOOTFSRydberg sensorsUAV energy modelsWHTDManalog RF computingbeamforming/beam predictionedge AIlidar spoofing/aliasingmodel leakagemultimodal learningphase noisesignal-processing vulnerabilities

What happened

This collection of recent wireless, sensing, and edge-AI research introduces multiple advances that have dual-use security implications. Papers describe methods that extend FMCW lidar range beyond Nyquist, improve robustness to phase noise (relevant to spoofing/resilience), new waveforms (WHTDM) and OTFS phase-noise estimation (impacting comms reliability), analog RF computing and MU‑MIMO inference (novel physical-layer computation with potential for covert channels or unintended broadcast of model weights), Rydberg-atomic sensor noise-mitigation (sensor hardening but also potential for novel監

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_eess_sp
Record identifier
5bfcdd75752863d02fb37c17b114af87f644d475b9ab01f5fa385933c1fe909d
Enrichment time
2026-05-15T08:51:41Z
AI-assisted enrichment
Yes

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Record · FMCW Lidar Beyond Nyquist by Instantaneous Frequency Fitting · Baitaphish