无线电通信技术2025，Vol.51Issue(1)：12-19,8.DOI:10.3969/j.issn.1003-3114.2025.01.002
基于交替方向乘子法的XL-MIMO混合场稀疏信道估计
XL-MIMO Hybrid Field Sparse Channel Estimation Based on Alternating Direction Method of Multiplier
摘要
Abstract
The channels of Extremely Large-scale Multiple-Input Multiple-Output(XL-MIMO)systems are usually divided into near-field channels and far-field channels based on Rayleigh distance.The hybrid field channel model superimposes the near-field channel model of spherical wavefront and the far-field channel model of surface wavefront using a path number scaling factor,resulting in a significant increase in the number of channel parameter dimensions,high pilot overhead for channel estimation,and difficulty in obtaining accurate sparsity of channel parameter vectors due to energy leakage.To address the channel estimation problem of such com-munication systems and reduce pilot overhead and improve computational efficiency,the angle domain sparse channel representation model in the far field and the polarization domain sparse channel representation model in the near field are analyzed.The estimation problem is transformed into an L1 norm optimization problem in the sparse signal recovery framework.A sparse channel estimation algo-rithm based on Alternating Direction Method of Multiplier(ADMM)is proposed.In addition,an improved ADMM algorithm is pro-posed,which iteratively calculates the Lagrange multiplier update in a two-step symmetric manner,leading to faster convergence speed and higher computational efficiency.These two algorithms can eliminate the dependence of the conventional Orthogonal Matching Pur-suit(OMP)algorithm on channel sparsity,and have a significant improvement in estimation accuracy compared to the OMP algorithm.关键词
超大规模多输入多输出/混合场通信/信道估计/交替方向乘子法Key words
XL-MIMO/hybrid field communication/channel estimation/ADMM分类
信息技术与安全科学引用本文复制引用
刘勇,张静,杨春夏..基于交替方向乘子法的XL-MIMO混合场稀疏信道估计[J].无线电通信技术,2025,51(1):12-19,8.基金项目
国家自然科学青年基金(61801293) National Natural Science Foundation of China for Young Scientists(61801293) （61801293）
