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Hard- and soft-output trellis-based conflict resolution for bidirectional decision feedback equalization

机译:基于硬输出和软输出网格的冲突解决方案,用于双向决策反馈均衡

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摘要

The decision feedback equalizer (DFE) is widely used in practice for intersymbol interference (ISI) mitigation because of its low complexity. The performance of the DFE can be enhanced by arbitrating between the output of a standard DFE and a second DFE that operates on the time-reversed received sequence. The combination is called a bidirectional DFE (BDFE). Several previous papers have discussed how to arbitrate between the outputs of the forward and reverse equalizers to make hard decisions. We show that the arbitration algorithms proposed by other researchers are inefficient and propose a trellis-based conflict resolution (TBCR) algorithm that simultaneously provides better performance and lower complexity. We further show how the TBCR approach can be used to create soft-output BDFE algorithms for use with soft-input decoding of an error-control code. The soft-output BDFE algorithms offer better performance than previously proposed algorithms while requiring lower complexity than the maximum a posteriori equalizer. We also propose a novel method to reduce the computational complexity of BDFE algorithms by simultaneously computing the coefficients of the forward and reverse equalizers.
机译:决策反馈均衡器(DFE)由于其低复杂度而在实践中被广泛用于减轻码间干扰(ISI)。 DFE的性能可以通过在标准DFE的输出与在时间反向的接收序列上运行的第二个DFE之间进行仲裁来增强。该组合称为双向DFE(BDFE)。先前的几篇文章讨论了如何在正向和反向均衡器的输出之间进行仲裁以做出艰难的决定。我们证明了其他研究人员提出的仲裁算法效率低下,并提出了基于网格的冲突解决(TBCR)算法,该算法同时提供了更好的性能和更低的复杂度。我们进一步展示了TBCR方法如何可用于创建软输出BDFE算法,以与错误控制代码的软输入解码配合使用。与以前提出的算法相比,软输出BDFE算法具有更好的性能,同时所需的复杂度也比最大后验均衡器低。我们还提出了一种新颖的方法,通过同时计算正向和反向均衡器的系数来降低BDFE算法的计算复杂度。

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