Joint Inverse Learning of Cognitive Radar Perception and Perception-Action Policy
2026-03-10T08:51:45Z•79d25eeaaf3937ed65a4062443f7bdfd61ec5a250afe2012edf3f0349f725bf9
5G6GCTMConvolutional Tsetlin MachineECMFPGAISACLEO satelliteRFSoCantenna optimizationautofocusautomotive SARbeam trainingbeamformingcognitive radarcooperative beamformingelectronic countermeasurefluid MIMOintegrated sensing and communicationinverse learningjamming detectionmmWavenear-fieldphase retrievalscheduling
What happened
This document is a collection of recent arXiv submissions (Mar 10, 2026) focused on radar, mmWave/6G transceivers, integrated sensing-and-communication (ISAC), beamforming/beam-training, automotive SAR imaging, jamming detection, and satellite beam/scheduling optimization. Notable items include an inverse-learning electronic countermeasure (IPFDDP) that jointly infers a cognitive radar's perception and perception-action policy (adversarial EW capability), RFSoC-based mmWave testbed work, radar-enabled adaptive modulation and ISAC prototypes, a low-complexity autofocus pipeline for automotive (
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 79d25eeaaf3937ed65a4062443f7bdfd61ec5a250afe2012edf3f0349f725bf9
- Enrichment time
- 2026-03-10T08:51:45Z
- AI-assisted enrichment
- Yes
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