一种基于双EP的Turbo均衡方案
A double EP-based proposal for turbo equalization
摘要：
本文讨论了期望传播（EP）算法在Turbo均衡中的应用。EP已经成功地应用于在均衡器的输出处或在信道解码器的输出处获得更好的近似，以更好地初始化由均衡器使用的高斯先验。在这封信中，我们结合这两种趋势，提出了一种新的双EP为基础的均衡器，能够减少所需的迭代次数，减少计算复杂度的两倍，线性MMSE。这种新颖的均衡器开发在三个不同的实现：一个块设计，利用整个向量的观察，维纳滤波器类型的方法，只是使用一个预定义的窗口内的观察和卡尔曼平滑滤波器类型的方法，模拟BCJR行为。最后，我们包括一些实验结果，比较三种不同的实现，并详细说明他们的改进与其他EP为基础的建议在文献中。
英文摘要：
This letter deals with the application of the expectation propagation (EP) algorithm to turbo equalization. The EP has been successfully applied to obtain either a better approximation at the output of the equalizer or at the output of the channel decoder to better initialize the Gaussian prior used by the equalizer. In this letter we combine both trends to propose a novel double EP-based equalizer that is able to decrease the number of iterations needed, reducing the computational complexity to twice that of the linear MMSE. This novel equalizer is developed in three different implementations: a block design that exploits the whole vector of observations, a Wiener filter-type approach that just uses the observations within a predefined window and a Kalman smoothing filter-type approach that emulates the BCJR behavior. Finally, we include some experimental results to compare the three different implementations and to detail their improvements with respect to other EP-based proposals in the literature.
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