Performance Analysis of HF Communication System Based on Text Modal Semantic Encoding

With the increasing demand for the reliability of HF communication, there is an urgent need to explore new methods to enhance its performance. We design an HF communication system based on text modal semantic encoding by introducing the relevant methods of semantic communication. A comparison is made between the proposed system and traditional HF communication system using BLEU score and semantic similarity score. Simulation results demonstrate that the proposed system achieves BLEU scores and semantic similarity scores comparable to the traditional system at a lower signal-to-noise ratio (SNR), significantly enhancing the reliability of HF communication.

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Published
2024-12-27
DOI
https://doi.org/10.1109/icctit64404.2024.10928407
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance Analysis of HF Communication System Based on Text Modal Semantic Encoding

Shiyuan Yang, Jielin Fu
Advanced Computational Techniques and Applications
article

Performance Analysis of HF Communication System Based on Text Modal Semantic Encoding

Shiyuan Yang, Jielin Fu
article en

Abstract

With the increasing demand for the reliability of HF communication, there is an urgent need to explore new methods to enhance its performance. We design an HF communication system based on text modal semantic encoding by introducing the relevant methods of semantic communication. A comparison is made between the proposed system and traditional HF communication system using BLEU score and semantic similarity score. Simulation results demonstrate that the proposed system achieves BLEU scores and semantic similarity scores comparable to the traditional system at a lower signal-to-noise ratio (SNR), significantly enhancing the reliability of HF communication.

Guilin University of Electronic Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 74%
Advanced Computational Techniques and Applications
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