App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 10

Collaborative iterative soft-thresholding and neighborhood fine-tuning algorithm for hybrid-field channel estimation in XL-MIMO systems

Lei Fang
Zhang Lang
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2026.01.0042

Abstract

To address the dual challenges of the inherent grid mismatch effect in on-grid models and high computational complexity in off-grid models for hybrid-field channel estimation in XL-MIMO systems, this paper proposed a hybrid-field channel estimation algorithm based on iterative soft thresholding and neighborhood fine-tuning. The algorithm abandoned the greedy iterative strategies of traditional orthogonal matching pursuit (OMP) and stochastic gradient pursuit (SGP) algorithms. First, the method utilized an ISTA-based global path search on a joint far- and near-field dictionary within an on-grid framework, this step significantly enhanced the robustness under low signal-to-noise ratio (SNR) conditions. Second, the algorithm employed a low-complexity adaptive neighborhood expansion and a normalized least mean square (NLMS) fine-tuning mechanism to effectively compensate for energy leakage caused by grid mismatch. Theoretical analysis and simulation results show that the proposed algorithm reduces the normalized mean squared error (NMSE) by approximately 2.2 dB compared with the off-grid SGP algorithm under various SNR levels while maintaining linear complexity comparable to that of the on-grid SGP algorithm.

Foundation Support

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

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.01.0042
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 10

Publish History

[2026-07-20] Accepted Paper

Cite This Article

雷芳, 张浪. 面向XL-MIMO混合场信道估计的迭代软阈值-邻域精调协同算法 [J]. 计算机应用研究, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0042. (Lei Fang, Zhang Lang. Collaborative iterative soft-thresholding and neighborhood fine-tuning algorithm for hybrid-field channel estimation in XL-MIMO systems [J]. Application Research of Computers, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0042. )

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  • Application Research of Computers Monthly Journal
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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.

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