论文标题
通过期望传播的参数相跟踪
Parametric Phase Tracking via Expectation Propagation
论文作者
论文摘要
在这项工作中，我们提出了简单的算法，用于在被强相噪声破坏的单载波变速器中进行信号检测。所提出的相跟踪算法是在参数消息传递（MP）的框架内提出的，该框架通过使用预定义家族的分布来降低贝叶斯推论的复杂性；在这里，Tikhonov发行。这与以前的作品一致，主要受到著名的Colavolpe-Barbieri-Caire（CBC）算法的启发，该算法由于其简单性和解码器操作的可能性而获得了知名度。在我们的工作中，我们主要专注于不需要解码器反馈的一弹相跟踪的实际情况。应用期望传播的原理（EP），我们甚至可以考虑在解码器的反馈之前提高阶段跟踪的性能。 EP算法也可以本着关节解码和相跟踪的精神集成到解码循环中。
In this work we propose simple algorithms for signal detection in a single-carrier transmission corrupted by a strong phase noise. The proposed phase tracking algorithms are formulated within the framework of a parametric message passing (MP) which reduces the complexity of the Bayesian inference by using distributions from a predefined family; here, of Tikhonov distributions. This stays in line with previous works mainly inspired by the well-known Colavolpe-Barbieri-Caire (CBC) algorithm which gained popularity due to its simplicity and possibility for decoder-aided operation. In our work we mainly focus on practically relevant case of one-shot phase tracking that does not require decoder's feedback. Applying the principles of the expectation propagation (EP), we notably improve the performance of the phase tracking before the decoder's feedback can be even considered. The EP algorithms can be also integrated in the decoding loop in the spirit of joint decoding and phase tracking.
