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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 1

Sparse based RIS assisted channel estimation method

Liu Jiaxuan
Zhang Xiaojian
Wang Dan
School of Communications & Information Engineering, Chongqing University of Post & Telecommunication, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0197

Abstract

This paper developed an improved OMP-based dual-sparsity channel estimation method (D-OMP) to address two critical challenges in RIS-assisted communication systems: excessive pilot resource consumption and channel interference from abnormal users (users with weight ≤ 0.1) . The proposed algorithm fully utilized the dual-sparsity characteristics of the cascaded channel in the angular domain and refined the three-stage D-OMP framework: (1) jointly estimating the multi-user common row support by replacing mean with median energy detection to effectively suppress abnormal-user interference; (2) introducing multi-user weighting to optimize the partially common column support; and (3) adaptively pruning abnormal users via multi-user weighting coefficients to optimize user-specific column support. Simulation results indicates that the algorithm reduces pilot overhead while achieving more than 3 dB NMSE improvement over conventional OMP, and the method maintains stable performance under both low-SNR conditions and abnormal-user interference, significantly enhancing system robustness. By combining dual-sparsity joint estimation with an abnormal-user suppression mechanism, this work enables computationally efficient channel estimation for dense RIS deployments.

Foundation Support

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)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0197
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 1

Publish History

[2025-09-16] Accepted Paper

Cite This Article

刘佳璇, 张笑剑, 王丹. 一种基于稀疏性的RIS辅助信道估计方法 [J]. 计算机应用研究, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0197. (Liu Jiaxuan, Zhang Xiaojian, Wang Dan. Sparse based RIS assisted channel estimation method [J]. Application Research of Computers, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0197. )

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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