A Hybrid Model/Data-Driven Solution to Channel, Position and Orientation Tracking in mmWave Vehicular Systems

Documenti analoghi

• Learning to Localize with Attention: from sparse mmWave channel estimates from a single BS to high accuracy 3D location
  di: Chen, Yun, et al.
  Pubblicazione: (2023)
• Hybrid Precoding and Combining for mmWave Full-Duplex Joint Radar and Communication Systems under Self-Interference
  di: Bayraktar, Murat, et al.
  Pubblicazione: (2023)
• Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems
  di: Wang, Yuyang, et al.
  Pubblicazione: (2021)
• Channel Estimation and Hybrid Precoding for Frequency Selective Multiuser mmWave MIMO Systems
  di: González-Coma, J. P., et al.
  Pubblicazione: (2024)
• Integrated Monostatic Sensing and Full-Duplex Multiuser Communication for mmWave Systems
  di: Bayraktar, Murat, et al.
  Pubblicazione: (2024)