频道代码书 (CCB):在卫星地面场景中的语义图像适应传输
Hui Cao1, Shujun Han1, Rui Meng1
1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
本研究介绍了用于自适应卫星图像传输的频道代码簿 (CCB) 语义通信 (SemCom) 模型. CCB模型在不同的,不断变化的通道条件下提高了效率和准确性.
科学领域:
- 卫星通信 卫星通信
- 信息理论 信息理论
- 信号处理 信号处理
背景情况:
- 卫星-地面通信对于全球系统至关重要,但由于卫星的快速移动和频道变化,它面临着效率挑战.
- 语义通信 (SemCom) 通过传递信息含义来提高传输效率,非常适合卫星图像传输.
- 现有的SemCom方法缺乏适应动态通道条件的适应性.
研究的目的:
- 提出适应性SemCom传输模型,用于在各种道环境中进行卫星图像传输.
- 提高SemCom技术的稳定性和效率,以应对频道波动.
主要方法:
- 开发了一个基于Channel Code-Book (CCB) 的SemCom模型,用于自适应图像传输.
- 该模型记录了色和噪声状态,以重建和恢复图像.
- 根据通道条件动态调整的消毒器模型参数.
主要成果:
- 与Deep JSCC,ASCN和WITT相比,拟议的CCB模型表现出优越的性能.
- 在高信号噪声比条件下获得超过10dB的优势.
- 该模型有效地适应各种道环境和任务条件.
结论:
- 基于CCB的SemCom模型为自适应卫星图像传输提供了一个强大的解决方案.
- 这种方法在具有挑战性的卫星通信场景中显著提高了传输效率和图像质量.
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