Robust connectivity in time-frequency dual fading channels for the 6G satellite IoT: chirp and FRFT

Wenliang Lin , Xinghao Cao , Ke Wang , Zhongliang Deng , Yishan He , Kejia Cui , Yaohua Deng , Da Wan , Zhiwei He

›› 2026, Vol. 12 ›› Issue (2) : 375 -387.

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›› 2026, Vol. 12 ›› Issue (2) :375 -387. DOI: 10.1016/j.dcan.2025.12.002
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Robust connectivity in time-frequency dual fading channels for the 6G satellite IoT: chirp and FRFT
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Abstract

With the development of Sixth-Generation (6G) mobile communication technologies, Low Earth Orbit (LEO) satellite communication systems have become extremely important in mobile communications owing to their large coverage, high efficiency, and low cost. However, the high dynamic LEO satellite channels cause serious time-frequency dual selective fading, significantly impairing the performance of conventional single time or fre-quency domain synchronization algorithms and limiting their applicability. To address these challenges, this paper proposes a synchronization algorithm based on Linear Frequency Modulation (LFM) signals and the Frac-tional Fourier Transform (FRFT). Exploiting the inherent robustness of LFM signals against frequency deviations and multipath effects, coupled with their energy concentration property in the optimal fractional Fourier do-main, the proposed algorithm enables efficient synchronization with enhanced resilience to time-frequency vari-ations. Furthermore, LFM preamble sequences are optimally designed for diverse channel conditions. This work presents a theoretical analysis of the time-frequency nonstationary characteristics of LEO satellite channels and discusses the performance limitations of traditional synchronization algorithms. The proposed integrated FRFT-LFM synchronization framework and sequence optimization scheme are rigorously evaluated via comprehensive simulations. The results demonstrate substantial improvements in synchronization accuracy and computational efficiency compared with conventional methods, particularly under time-frequency dual selective fading LEO satellite channels. The algorithm provides a robust and reliable solution for time-frequency synchronization in LEO satellite communication systems, thereby enhancing overall system performance and reliability.

Keywords

Time-frequency synchronization / Linear frequency modulation / Fractional fourier transform / Low earth orbit satellite communications / Nonstationary channel

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Wenliang Lin, Xinghao Cao, Ke Wang, Zhongliang Deng, Yishan He, Kejia Cui, Yaohua Deng, Da Wan, Zhiwei He. Robust connectivity in time-frequency dual fading channels for the 6G satellite IoT: chirp and FRFT. , 2026, 12(2): 375-387 DOI:10.1016/j.dcan.2025.12.002

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Declaration of competing interest

The authors hereby declare that there are no financial, commercial, or personal relationships that could be construed as potential conflicts of interest. All authors have reviewed and agreed upon the content of this manuscript, confirming that no external influences affected the re-search design, data analysis, or publication process. Any funding sources associated with this study are unrelated to entities that might have an in-terest in the outcomes, and no author holds stocks, patents, or advisory roles in organizations connected to this work. This statement is made in accordance with the ethical standards required by the journal to ensure transparency and integrity in scholarly communication.

CRediT authorship contribution statement

Wenliang Lin: Writing-review & editing, Writing-original draft, Supervision, Methodology, Data curation; Xinghao Cao: Writing-re-view & editing, Writing-original draft, Validation, Investigation; Ke Wang: Writing-review & editing; Zhongliang Deng: Writing-review & editing, Methodology, Data curation, Conceptualization; Yishan He: Writing-review & editing; Kejia Cui: Writing-review & editing; Yao-hua Deng: Writing-review & editing; Da Wan: Writing-review & editing; Zhiwei He: Writing-review & editing.

Acknowledgements

This work is supported by the Beijing Natural Science Founda-tion (4252008), the Natural Science Foundation of Chongqing Province (CSTB2024NSCQLZX0176) and the Beijing Natural Science Foundation of Undergraduate Qiyan Program (QY24197).

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