Data Transmission Signal Acquisition Based on PMF-FFT and Desymbolisation Algorithm

Aiming at obtaining a common capture method applicable to both digital and spread spectrum signals to achieve the saving of satellite resources, as well as the consolidation of hardware and software on the satellite for the capture of different signals, this paper improves the PMF-FFT algorithm applicable to the capture of spread spectrum signals. It proposes a digital capture method based on desymbolization and PMFFFT. The 2D signal capture algorithm is adapted for digital communication signals by demodulating the symbols and processing the local signal. The mathematical principles underlying the loss of demodulated symbols are derived, and simulations are conducted to validate the accuracy of the proposed formulas. The paper provides a detailed mathematical model of the algorithm, analyzes the various losses associated with it, and validates its performance through simulations. Experimental results demonstrate the applicability and correctness of the proposed method.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/icccs65393.2025.11069627
Primary Topic
Image and Signal Denoising Methods
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article
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article

Data Transmission Signal Acquisition Based on PMF-FFT and Desymbolisation Algorithm

Zhe Zheng, Yang Zhou, Hanyue Hu
Image and Signal Denoising Methods
article

Data Transmission Signal Acquisition Based on PMF-FFT and Desymbolisation Algorithm

Zhe Zheng, Yang Zhou, Hanyue Hu
article en

Abstract

Aiming at obtaining a common capture method applicable to both digital and spread spectrum signals to achieve the saving of satellite resources, as well as the consolidation of hardware and software on the satellite for the capture of different signals, this paper improves the PMF-FFT algorithm applicable to the capture of spread spectrum signals. It proposes a digital capture method based on desymbolization and PMFFFT. The 2D signal capture algorithm is adapted for digital communication signals by demodulating the symbols and processing the local signal. The mathematical principles underlying the loss of demodulated symbols are derived, and simulations are conducted to validate the accuracy of the proposed formulas. The paper provides a detailed mathematical model of the algorithm, analyzes the various losses associated with it, and validates its performance through simulations. Experimental results demonstrate the applicability and correctness of the proposed method.

Beijing Institute of Technology (CN)
Openalex Percentile: Top 85%
Image and Signal Denoising Methods
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Data Transmission Signal Acquisition Based on PMF-FFT and Desymbolisation Algorithm — Zhe Zheng, Yang Zhou, et al. · (2025) | TGRS Research Map | TGRS