@inproceedings{679cad44-2abb-4b6d-851b-f5dcc2e879d2,
  abstract     = {{<p>In this paper, we consider near-field localization and sensing with an extremely large aperture array under partial blockage of array antennas, where spherical wavefront and spatial non-stationarity are accounted for. We propose an Ising model to characterize the clustered sparsity feature of the blockage pattern, develop an algorithm based on alternating optimization for joint channel parameter estimation and visibility region detection, and further estimate the locations of the user and environmental scatterers. The simulation results confirm the effectiveness of the proposed algorithm compared to conventional methods.</p>}},
  author       = {{Huang, Huiping and Pourafzal, Alireza and Chen, Hui and Keskin, Musa Furkan and Li, Mengting and Ge, Yu and Tufvesson, Fredrik and Wymeersch, Henk and Cai, Xuesong}},
  booktitle    = {{2025 33rd European Signal Processing Conference, EUSIPCO 2025 - Proceedings}},
  isbn         = {{9789464593624}},
  issn         = {{2219-5491}},
  keywords     = {{Extremely large aperture array; near-field channel estimation; partial blockage detection; visible region detection}},
  language     = {{eng}},
  pages        = {{965--969}},
  publisher    = {{European Signal Processing Conference, EUSIPCO}},
  series       = {{European Signal Processing Conference}},
  title        = {{Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays}},
  url          = {{http://dx.doi.org/10.23919/EUSIPCO63237.2025.11226700}},
  doi          = {{10.23919/EUSIPCO63237.2025.11226700}},
  year         = {{2025}},
}