Blind Channel Estimation and Data Detection for Near-Field XL-MIMO Systems
2026-05-27T08:51:38Z•3f9eee5e64c3630e43426f1994e6001aa517a73135c9ec3d153b11aac65b1016
B-OMPDABMIMONExT-FRVFNOMAPASSRIS','artificial_noise'TDOAXL-MIMOarXivblind_channel_estimationblock-coordinate_descentcell-free_MIMOintegrated_communications_and_positioninglocalizationnear-fieldoperational_modal_analysisphysics-informed_MLpositioningpower_controlsatellite_navigationsignal_processingspace_structuresunsupervised_learningwireless_communications
What happened
Collection of newly posted arXiv papers (signal processing / communications) covering: blind channel estimation and data detection for near-field XL‑MIMO using polar‑domain sparsity with on‑grid B-OMP and off‑grid BCD refinements; operational modal analysis for the International Space Station via NExT combined with Fast & Relaxed Vector Fitting; unsupervised physics‑informed downlink power control for scalable cell‑free massive MIMO (max‑min fairness); integrated positioning and communications using movable pinching‑antenna systems (PASS) with MWSP/MWMP scenarios; a multi-/uni‑cast NOMA-based,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 3f9eee5e64c3630e43426f1994e6001aa517a73135c9ec3d153b11aac65b1016
- Enrichment time
- 2026-05-27T08:51:38Z
- AI-assisted enrichment
- Yes
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