A New SAGE-Based Channel Estimation Scheme for Millimeter Wave MIMO-OFDM Systems with Hybrid Beamforming Techniques

被引：2
作者：
Liu, Congjie [1 ]
Sun, Jian [1 ]
Zhang, Wensheng [1 ]
Wang, Cheng-Xiang [2 ,3 ]
机构：
[1] Shandong Univ, Sch Informat Sci & Engn, Shandong Prov Key Lab Wireless Commun Technol, Qingdao 266237, Peoples R China
[2] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[3] Purple Mt Labs, Nanjing 211111, Peoples R China
来源：
2022 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC | 2022年
基金：
中国国家自然科学基金;
关键词：
channel parameter estimation; mmWave; SAGE; HBF; massive MIMO; multipath; frequency-selective channel; PARAMETER-ESTIMATION;
D O I：
10.1109/ICCC55456.2022.9880816
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new two-stage channel estimation scheme based on the space-alternating generalized expectation-maximization (SAGE) algorithm is proposed for millimeter-wave (mmWave) massive multi-input multi-output (MIMO) channel sounding with hybrid beamforming (HBF) MIMO configuration. In the initialization stage, an iterative cancellation method is proposed to estimate the paths one by one, so it performs better than its counterparts on the channels with multiple paths. In the parameter iteration stage, the SAGE framework is used to refine the initial estimated results by iteratively updating the subsets of channel parameters. Simulation results demonstrate that the proposed algorithm achieves higher accuracy than the previously proposed channel estimation algorithm, especially in the low-SNR and the rich-scattering condition.
引用
收藏
页码：844 / 849
页数：6
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