Fast Subspace-Based Blind and Semi-Blind Channel Estimation for MIMO-OFDM Systems

被引：1

作者：

Rekik, Ouahbi ^{[1
]}

Aliyu, Kabiru Nasiru ^{[2
,3
]}

Tuan, Bui Minh ^{[4
,5
]}

Abed-Meraim, Karim ^{[6
]}

Trung, Nguyen Linh ^{[4
]}

机构：

[1] Higher Sch Signals, Dely Ibrahim 16320, Algeria

[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia

[3] King Fahd Univ Petr & Minerals, Ctr Commun Syst & Sensing, Dhahran 31261, Saudi Arabia

[4] Vietnam Natl Univ, Univ Engn & Technol, Adv Inst Engn & Technol AVITECH, Hanoi 100000, Vietnam

[5] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Electr & Data Engn, Ultimo, NSW 2007, Australia

[6] Orleans Univ, PRISME Lab, F-45100 Orleans, France

来源：

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2024年 / 23卷 / 08期

关键词：

Channel estimation; OFDM; Symbols; Estimation; Covariance matrices; Communication systems; Wireless communication; MIMO; subspace method; blind and semi-blind channel estimation; IDENTIFICATION; ALGORITHM;

D O I：

10.1109/TWC.2024.3370720

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the problem of blind and semi-blind subspace-based channel estimation, when considering MIMO-OFDM communications systems. The proposed solution offers a reduced computational complexity, mainly by a factor of the number of subcarriers, while guaranteeing accurate channel estimation as compared to state-of-the-art techniques. By exploiting the orthogonality property of the OFDM modulation, covariance matrix and noise subspace are estimated for each subcarrier in a parallel scheme, then a global cost function is minimized to obtain channel coefficients estimates. Besides, conditions for channel identifiability as well as the minimum number of subcarriers to be used for the uniqueness of the solution are investigated with various numerical simulations to corroborate our analysis.

引用

页码：10247 / 10257

页数：11

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