基于传递信号的矢量近似信号符号检测用于直角频率划分,通过快速变化的通道复杂化水下声通信
1Key Laboratory of Underwater Acoustic Signal Processing of the Ministry of Education, School of Information Science and Engineering, Southeast University, Nanjing, 210096, China.
The Journal of the Acoustical Society of America
|March 18, 2025
概括
我们介绍了EM-VAMP-SSD,这是用于水下声学通信的先进探测器. 这种方法在具有挑战性的,快速变化的环境中增强了符号估计,优于传统技术.
科学领域:
- 水下声学 水下声学
- 信号处理 信号处理
- 无线通信是一种无线通信.
背景情况:
- 由于快速变化的时间条件,水下声道具有挑战性.
- 多输入多输出 (MIMO) 直角频率分割多重复合 (OFDM) 系统对于强大的水下通信至关重要.
- 准确的符号检测对于可靠的数据传输至关重要.
研究的目的:
- 为MIMO-OFDM水下声学通信提出一个近似的贝叶斯软符号探测器 (SSD).
- 为了提高符号估计性能在快速时间变化的道.
- 开发一种与传统方法相比具有性能优势的探测器.
主要方法:
- 矢量近似消息传递 (VAMP) 算法与预期最大化 (EM) 技术 (EM-VAMP-SSD) 相结合.
- 在内部软切片机和内部软估计器 (ISE) 之间反复交换外部信息.
- 使用直角匹配追踪和EM算法分别估计通道和噪声功率.
- 将频域MIMO通道作为一个块对角矩阵进行近似,以减少复杂性.
主要成果:
- 在EM-VAMP-SSD表现出相对传统的线性最小平均平方误差SSD的一致性性能优势.
- 数字和实验数据验证了拟议探测器的有效性.
- 对MIMO通道的块对角矩阵近似对性能产生最小的影响,同时减少了复杂性.
结论:
- 在复杂的水下声学环境中,EM-VAMP-SSD为符号检测提供了卓越的解决方案.
- 集成VAMP和EM算法为MIMO-OFDM系统提供了强大的性能.
- 拟议的方法在水下声通信中的实际应用中得到了验证.
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