App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 9

Spatially variant local-refinement-enhanced polar-domain channel estimation for wideband near-field xl-mimo

Yang Liming
Liu Hang
Chen Yi
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2026.01.0025

Abstract

This paper addresses the frequency-dependent drift of polar-domain sparse support caused by beam split in wideband near-field extremely large-scale multiple-input multiple-output (XL-MIMO) systems, as well as the sensitivity of bilinear pattern detection (BPD) to off-grid mismatch and local optima under discrete polar-domain dictionaries. To solve these problems, this paper proposes a spatially variant local-refinement-enhanced bilinear pattern detection (SVL-BPD) method for wideband near-field channel estimation. Different from BPD, which only performs coarse path detection over a coarse polar-domain grid by exploiting bilinear patterns, the proposed method first obtains candidate paths via BPD-based coarse detection, then performs continuous local refinement within their neighboring regions, and adaptively adjusts the local search granularity according to the signal-to-noise ratio (SNR) , pilot overhead, and normalized bandwidth. In addition, the proposed method introduces a residual-based candidate selection mechanism to adaptively choose among the geometrically refined result, the polar-domain sparse recovery result, and the original BPD result. Simulation results show that, compared with BPD, the proposed method reduces the normalized mean square error (NMSE) by about 1–2 dB on average under various distance and bandwidth settings, with a maximum reduction of about 3.5 dB at SNR = 15 dB, while keeping the computational complexity controllable. The proposed method effectively mitigates polar-domain sparse support drift and off-grid mismatch in wideband near-field scenarios, and improves channel estimation accuracy and robustness.

Foundation Support

重庆市自然科学基金创新发展联合基金资助项目(中国星网)(CSTB2023NSCQ-LZX0114)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.01.0025
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 9

Publish History

[2026-07-01] Accepted Paper

Cite This Article

杨黎明, 刘航, 陈熠. 空间可变局部细化增强的宽带近场XL-MIMO极域信道估计 [J]. 计算机应用研究, 2026, 43 (9). (2026-07-31). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0025. (Yang Liming, Liu Hang, Chen Yi. Spatially variant local-refinement-enhanced polar-domain channel estimation for wideband near-field xl-mimo [J]. Application Research of Computers, 2026, 43 (9). (2026-07-31). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0025. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)