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低复杂度的代接收器,基于多输入多输出水下声通信的变量贝叶斯推理.

Wei-Zhe Li1,2, Xiao Han1,3, Yi-Zhen Jia1,2

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此摘要是机器生成的。

本研究介绍了一种低复杂度的接收器,用于使用变量贝叶斯推理 (VBI) 的水下声通信. 该方法增强了通道估计和等级,大大降低了多输入多输出 (MIMO) 系统的计算负载.

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科学领域:

  • 水下声学通讯水下声学通讯
  • 信号处理 信号处理
  • 信息理论 信息理论

背景情况:

  • 高性能接收器对于水下声学通信至关重要,特别是在多输入多输出 (MIMO) 系统中.
  • 在这些苛刻的环境中,管理接收器的复杂性是关键的挑战.

研究的目的:

  • 提出一个低复杂度的MIMO接收器用于水下声学通信.
  • 通过使用变量贝叶斯推理 (VBI) 提高通道估计和均等效率.

主要方法:

  • 开发了一个基于VBI的代通道估计模型,将高维通道分解为稀疏的低维向量.
  • 将矢量近似消息传递 (VAMP) 技术集成到通道估计 (TC-VAMP-VBI) 的 VBI 框架中.
  • 在VBI框架内提出了一种使用被动时间逆转的串行代等效算法.

主要成果:

  • 拟议的算法大大降低了MIMO系统中的计算复杂性.
  • 保持了强大的通道估计性能,即使是短数据块.
  • 通过模拟和实地实验数据验证.

结论:

  • 基于VBI的低复杂度MIMO接收器为水下声学通信提供了一个实用的解决方案.
  • TC-VAMP-VBI通道估计和被动时间逆转等级有效地减少了系统复杂性,同时确保了性能.