论文标题
矢量近似消息传递基于MIMO-OFDM水下声音通信的频道估计
Vector Approximate Message Passing based Channel Estimation for MIMO-OFDM Underwater Acoustic Communications
论文作者
论文摘要
准确的通道估计对于正交频划分多路复用（OFDM）水下声学（UWA）通信至关重要，尤其是在多输入多输出（MIMO）方案下。在本文中，我们探索矢量近似消息传递（VAMP）以及预期的最大值（EM）以获得MIMO OFDM UWA通信的通道估计（CE）。 EM-VAMP-CE方案是通过使用BERNOULLI-GAUSSIAN（BG）进行通道脉冲响应的先验分布而开发的，并且通过EM算法学习BG先验分布的超参数。通过合成数据和两个ATSEA UWA通信实验中收集的合成数据和实际数据评估EM-VAMP-CE的性能。与现有的渠道估计方法相比，EM-VAMP-CE可以实现更好的性能复杂性权衡。
Accurate channel estimation is critical to the performance of orthogonal frequency-division multiplexing (OFDM) underwater acoustic (UWA) communications, especially under multiple-input multiple-output (MIMO) scenarios. In this paper, we explore Vector Approximate Message Passing (VAMP) coupled with Expected Maximum (EM) to obtain channel estimation (CE) for MIMO OFDM UWA communications. The EM-VAMP-CE scheme is developed by employing a Bernoulli-Gaussian (BG) prior distribution for the channel impulse response, and hyperparameters of the BG prior distribution are learned via the EM algorithm. Performance of the EM-VAMP-CE is evaluated through both synthesized data and real data collected in two at-sea UWA communication experiments. It is shown the EM-VAMP-CE achieves better performance-complexity tradeoff compared with existing channel estimation methods.
