计算机应用研究2024，Vol.41Issue(10)：3124-3128,5.DOI:10.19734/j.issn.1001-3695.2024.01.0042
基于均匀线性阵列的超大规模MIMO混合场信道估计算法
Hybrid field channel estimation algorithm for extremely large-scale MIMO based on uniform linear array
摘要
Abstract
Extremely large-scale massive MIMO(XL-MIMO)emerges as a crucial technology for future 6G communication.Existing XL-MIMO hybrid-field channel models primarily model channels between uniform linear arrays and single-antenna users,employing the last-hop model of scatterers.However,if both transmitter and receiver are equipped with linear arrays,existing hybrid-field channel estimation schemes become inadequate.To address this,this paper proposed a channel modeling approach for XL-MIMO scenarios with both transmitter and receiver equipped with large-scale linear arrays,utilizing the Saleh-Valenzuela model.Additionally,it introduced a hybrid-field channel estimation algorithm based on orthogonal matching pursuit(OMP).This algorithm initially estimated far-field components using the angle-domain transformation matrix,followed by esti-mating near-field components using the polar-domain transformation matrix.Furthermore,it introduced the Cramér-Rao lower bound(CRLB)to evaluate the proposed algorithm.Simulation results demonstrate approximately 0.6 dB improvement in chan-nel estimation performance compared to algorithms considering only far-field and near-field components.关键词
超大规模MIMO/信道估计/混合场/线性阵列/克拉美罗-下界Key words
XL-MIMO/channel estimation/hybrid field/linear arrays/CRLB分类
信息技术与安全科学引用本文复制引用
王丹,方杰宁,谢长江..基于均匀线性阵列的超大规模MIMO混合场信道估计算法[J].计算机应用研究,2024,41(10):3124-3128,5.基金项目
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) （中国星网）
重庆市自然科学基金面上项目(cstc2021jcyj-msxmX0454) （cstc2021jcyj-msxmX0454）
