连续的重量更新稀疏贝叶斯式基于学习的接收器,用于多用户的水下声通信
Xueli Sheng1,2,3, Zheng Wu1,2,3, Li Wei1,2,3
1National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.
The Journal of the Acoustical Society of America
|March 17, 2025
概括
这项研究引入了一种新的多用户接收器,用于水下声学通信,在具有挑战性的条件下提高性能. 这种新的方法提高了通道估计的准确性,并大大降低了计算复杂性.
科学领域:
- 水下声学通信水下声学通信
- 信号处理 信号处理
- 无线通信系统无线通信系统
背景情况:
- 水下声学通信系统面临时间变化的频道和多次访问干扰的重大挑战.
- 现有的多用户接收器在这些不利条件下难以保持性能.
研究的目的:
- 提出一种新的单载波多用户接收器,用于水下声学通信.
- 为了提高通道估计的准确性,并减少在具有挑战性的声学环境中的计算复杂性.
主要方法:
- 软连续干扰取消与连续权重更新的集成,基于近似消息传递 (SWUSBL-AMP) 的稀疏贝叶斯学习通道估计.
- 实施改进的频道更新决策机制,以解决时间变化的频道不匹配问题.
- 在SWUSBL-AMP中对因子图进行序列处理,以加快融合并提高准确性.
主要成果:
- 与使用南中国海实验数据的现有接收器相比,拟定接收器的比特错误率表现优越.
- 该SWUSBL-AMP算法实现了几乎一个数量级的较低的计算复杂性比可比算法.
结论:
- 开发的多用户接收器有效地减轻了干扰,并改善了在变化时间的水下声学环境中的通道估计.
- 拟议的SWUSBL-AMP算法为水下声通信系统提供了一个计算效率高,准确的解决方案.
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