Enhancing Speech Quality in Scintillating Satellite Communications: A Rician Fading Modeling Approach

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Enhancing Speech Quality in Scintillating Satellite Communications: A Rician Fading Modeling Approach
Title:
Enhancing Speech Quality in Scintillating Satellite Communications: A Rician Fading Modeling Approach
Journal Title:
2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Keywords:
Publication Date:
22 October 2025
Citation:
T. K. Kuan, S. Hanwu and T. H. Dat, "Enhancing Speech Quality in Scintillating Satellite Communications: A Rician Fading Modeling Approach," 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Singapore, Singapore, 2025, pp. 1835-1840, doi: 10.1109/APSIPAASC65261.2025.11249171.
Abstract:
Ionospheric scintillation causes rapid signal fluctuations that degrade satellite voice communications. While radio wave propagation under scintillation is well studied, its impact on speech signals is less understood. This work introduces a speech modeling framework using variable K-factor Rician fading to simulate scintillation effects. We propose two enhancement methods: a lightweight RNN for real-time use and a score-driven diffusion model for high-fidelity restoration. Both are trained on augmented datasets generated by our proposed scintillated speech model and joint optimization framework. Compared to the Cornell scintillation toolkit, our approach yields consistently better speech quality. This work contributes a practical solution for enhancing speech quality in satellite aviation communications.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the National Research Foundation, Singapore, and the Civil Aviation Authority of Singapore - Aviation Transformation Programme
Grant Reference no. : ATP_SB-VHF_I2R
Description:
© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN:
979-8-3315-7206-8
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