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郭晓金,刘煜珂,陈发堂,等.面向多天线用户场景的XL-MIMO混合场信道估计[J].电讯技术，2026，66（6）： - . [点击复制]
GUO Xiaojin,LIU Yuke,CHEN Fatang,et al.XL-MIMO Hybrid Field Channel Estimation for Multi-antenna User Scenarios[J].，2026，66（6）： - . [点击复制]

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面向多天线用户场景的XL-MIMO混合场信道估计
郭晓金,刘煜珂,陈发堂,王晶
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(重庆邮电大学通信与信息工程学院，重庆 400065)

摘要:

关键词: 超大规模MIMO(XL-MIMO) 信道估计信道状态信息混合场

DOI：10.20079/j.issn.1001-893x.250225003

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

XL-MIMO Hybrid Field Channel Estimation for Multi-antenna User Scenarios

GUO Xiaojin,LIU Yuke,CHEN Fatang,WANG Jing

(School of Communications and Information Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，China)

Abstract:

To address the issue of inefficient acquisition of channel state information (CSI) caused by the massive number of antennas in extremely large-scale massive MIMO (XL-MIMO) systems，a hybrid-field channel estimation scheme is proposed for scenarios with unknown proportions of far-field and near-field components in multi-antenna user systems.The method develops a three-stage hybrid-field channel estimation algorithm based on the Orthogonal Matching Pursuit (OMP) algorithm.The numerical results show that，compared with the OMP algorithm with unknown proportions，the proposed algorithm improves channel estimation performance by about 5.7 dB.When compared with the OMP algorithm with prior knowledge of the ratio between far-field and near-field paths，the proposed algorithm achieves an improvement of approximately 29 dB.

Key words: extremely large-scale MIMO(XL-MIMO) channel estimation channel state information hybrid field