Rapid Adaptive Matched Filter for Detecting Radar Targets with Unknown Velocity
2026-05-22T08:51:42Z•b57b599cc602af5ff4f2059aa77ef7c0a9fae0effa014d0fdc85d1daf18bf420
DDL-AMFDopplerDoppler uncertaintyDoppler-induced ICIOFDM-ISACRIS thermal noiseadaptive matched filterbistatic ISACbladder pressureblock-error ratedeep learning beamformingevent detectionfinite blocklengthfull-duplex massive MIMOimplicit channel estimationinterference managementmachine learningradar detectionrate-splittingreconfigurable intelligent surfaceregion of possible target detection (RPTD)site-specific beamformingtensor decomposition DOA estimation','rotatable antenna','sparsetransformerurodynamics
What happened
Collection of recent arXiv submissions (May 22, 2026) focused on radar and wireless-communications signal processing, sensing, and machine learning. Highlights include a Doppler-domain localized adaptive matched filter (DDL-AMF) for robust radar detection with unknown target velocity and limited training data; a rate-splitting (RS)-inspired bistatic OFDM-ISAC transmitter/receiver design addressing unequal path interference and Doppler ICI; finite-blocklength analysis of passive RIS including thermal-noise modeling that limits reliability gains; transformer-based implicit channel probing for FD
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- b57b599cc602af5ff4f2059aa77ef7c0a9fae0effa014d0fdc85d1daf18bf420
- Enrichment time
- 2026-05-22T08:51:42Z
- AI-assisted enrichment
- Yes
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