Technology of Network & Communication
|
227-233

DLSBL-OTFS:dynamic prior-based SBL channel estimation method for OTFS

Zheng Juanyi
Wei Tian
School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China

Abstract

This paper proposed a DLSBL channel estimation method to address the problems of slow convergence and poor generalization in channel estimation for orthogonal time-frequency-space(OTFS) systems. The method firstly employed a LSTM network to learn and predict the dynamic statistical characteristics of the channel in the delay-Doppler(DD) domain, generating accurate and time-varying sparse prior information. This dynamic prior was then used to initialize the sparse Baye-sian learning(SBL) algorithm for channel estimation, which solved the parameter selection problem in time-varying channels and effectively suppresses fractional Doppler interference and noise. Simulation results show that this method significantly improves bit error rate(BER) and normalized mean square error(NMSE) compared to conventional algorithms. The proposed method demonstrates superior robustness in low signal-to-noise ratio and high-mobility scenarios, and provides a more efficient and accurate channel estimation solution for high-mobility wireless communication systems.

Foundation Support

国家自然科学基金资助项目(62271391)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0177
Publish at: Application Research of Computers Printed Article, Vol. 43, 2026 No. 1
Section: Technology of Network & Communication
Pages: 227-233
Serial Number: 1001-3695(2026)01-027-0227-07

Publish History

[2025-09-12] Accepted Paper
[2026-01-05] Printed Article

Cite This Article

郑娟毅, 魏甜. DLSBL-OTFS:动态先验型SBL的OTFS信道估计方法 [J]. 计算机应用研究, 2026, 43 (1): 227-233. (Zheng Juanyi, Wei Tian. DLSBL-OTFS:dynamic prior-based SBL channel estimation method for OTFS [J]. Application Research of Computers, 2026, 43 (1): 227-233. )

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.

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