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Technology of Network & Communication
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1159-1163

Research on sparse channel estimation for intelligent reflecting surface aided OFDM system

Zhu Junjie
Peng Ling
School of Computer & Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China

Abstract

For the channel estimation of broadband OFDM system assisted by IRS, most of the current researches are based on the full pilot setting on a single symbol, and excessive cascaded channel coefficients will lead to large pilot overhead. This paper proposed a two-stage channel estimation scheme based on block sparse in time-angle domain. Firstly, by analyzing the common sparse characteristics of the channel in the time domain and the angular domain, this paper transformed the cascaded channel matrix into a block sparse representation in the time domain-angular domain, and converted the channel estimation problem into a block sparse matrix recovery problem. Secondly, this paper proposed a two-stage sparse channel estimation scheme to sparsely recover the cascaded channel considering the transmission pilot limitation and the time-angle domain block sparse characteristics. Simulation results show that compared to the other three benchmark schemes, the proposed scheme can achieve better channel estimation performance with fewer pilots, effectively reducing the pilot overhead and achieving higher estimation accuracy.

Foundation Support

国家自然科学基金资助项目(62276276)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0359
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Technology of Network & Communication
Pages: 1159-1163
Serial Number: 1001-3695(2024)04-029-1159-05

Publish History

[2023-11-02] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

朱俊杰, 彭玲. 智能反射面辅助的OFDM系统稀疏信道估计研究 [J]. 计算机应用研究, 2024, 41 (4): 1159-1163. (Zhu Junjie, Peng Ling. Research on sparse channel estimation for intelligent reflecting surface aided OFDM system [J]. Application Research of Computers, 2024, 41 (4): 1159-1163. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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