{
  "abstract": "In this paper, we propose a hybrid-field channel tracking algorithm for extremely large-scale multiple-input multiple-output (XL-MIMO) systems with mobility, leveraging the historical channel state information. The multiple path scenario is considered, and the line-of-sight path is coarsely estimated through the sparse peak search within a narrow window in the fractional Fourier domain based on the temporal continuity of the user's motion. Moreover, coarse estimations of the non-line-of-sight (NLoS) paths are determined by ensuring the scatterer survival probability, eliminating the necessity of detecting existing NLoS paths. Then, a Newton-based refinement is applied to the estimated paths before seeking possible new paths. Numerical results validate that the proposed algorithm achieves superior performance with low computational complexity.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.19047",
  "author_total": 5,
  "authors": [
    {
      "name": "Yilong Liu"
    },
    {
      "name": "Xi Yang"
    },
    {
      "name": "Ting Liu"
    },
    {
      "name": "Yu Han"
    },
    {
      "name": "Shi Jin"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dw2r8vv7ea2ph.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.19047",
  "fulltext_url": null,
  "id": "dw2r8vv7ea2ph",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.19047",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.IT"
    ],
    [
      "arxiv",
      "eess.SP"
    ],
    [
      "arxiv",
      "math.IT"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2609.19047",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dw2r8vv7ea2ph.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:22:04Z",
      "native_id": "2609.19047",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.19047"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.IT",
      "subfield": "general"
    }
  ],
  "title": "Hybrid-Field Channel Tracking for Extremely Large-Scale MIMO Systems with Mobility",
  "title_text": "Hybrid-Field Channel Tracking for Extremely Large-Scale MIMO Systems with Mobility",
  "type": "preprint",
  "updated_at": "2026-10-30T12:22:04Z",
  "url": "https://research.draconitic.com/paper/dw2r8vv7ea2ph",
  "venue": "arXiv",
  "versions": []
}