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

共 50 条

[21] Semi-blind channel estimation and PAR reduction for MIMO-OFDM system with multiple antennas
Baek, MS
Kim, MJ
You, YH
Song, HK
IEEE TRANSACTIONS ON BROADCASTING, 2004, 50 (04) : 414 - 424
[22] Subspace-based Semi-blind Channel Estimation for SIMO-OFDM Systems by using Antenna Diversity
Kim, Jin-Goog
Lim, Jong-Tae
2008 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-4, 2008, : 2118 - 2121
[23] EM based semi-blind beamforming algorithm in MIMO-OFDM systems
Zamiri-Jafarian, H.
Bokharaiee-Najafee, S.
Pasupathy, S.
2007 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS 1 AND 2, 2007, : 190 - +
[24] Semi-Blind Channel Estimation by Subspace Method for Orthogonal Precoded OFDM Systems
Kawasaki, Hikaru
Matsumura, Takeshi
2022 IEEE 33RD ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (IEEE PIMRC), 2022, : 451 - 456
[25] Semi-blind MIMO-OFDM channel estimation using expectation maximisation like techniques
Ladaycia, Abdelhamid
Belouchrani, Adel
Abed-Meraim, Karim
Mokraoui, Anissa
IET COMMUNICATIONS, 2019, 13 (20) : 3452 - 3462
[26] A Closed-Form Semi-blind Solution to MIMO-OFDM Channel Estimation
Wan, Feng
Zhu, Wei-Ping
Swamy, M. N. S.
2008 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND SIGNAL PROCESSING, VOLS 1 AND 2, 2007, : 9 - 13
[27] Semi-blind Channel Estimation for OFDM Systems
Yang, Weiwei
Cai, Yueming
Xun, Youyun
2006 IEEE 63RD VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6, 2006, : 226 - 230
[28] Simplified Semi-Blind Channel Estimation for Space-Time Coded MIMO-OFDM Systems
Gupta, Prerana
Mehra, D. K.
WIRELESS PERSONAL COMMUNICATIONS, 2012, 62 (03) : 497 - 515
[29] Semi-blind channel estimation in MIMO-OFDM systems without guard interval and virtual carriers
Zuo Zhidong
Zhang Hailin
CHINESE JOURNAL OF ELECTRONICS, 2007, 16 (01): : 190 - 192
[30] An Enhanced Whitening Rotation Semi-Blind Channel Estimation for Massive MIMO-OFDM
Al-Salihi, Hayder
Nakhai, Mohammad Reza
2016 23RD INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT), 2016,

← 1 2 3 4 5 →