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DA based approach for the implementation of block adaptive decision feedback equaliser

机译：基于DA的块自适应决策反馈均衡器实现方法

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摘要

Adaptive decision feedback equalisers (ADFEs) are used in wireless transmission systems for mitigating the InterSymbol Interference (ISI) that occurs due to multipath propagation of the transmitted signal. In case of high speed communications which involve rapid-varying channels, fast convergent and low complexity ADFEs are required. Frequency domain block processing of signals is an effective means of handling the increased complexities in such high speed systems. However, block ADFEs being inherently non-causal, the feedback filter (FBF) suffers from the lack of unknown decisions in every block computation. In this study, the authors propose an efficient approach for the computation of these unknown decisions. For this, the authors tried to minimise a cost function based on two criteria mean-absolute difference (MAD) and mean-square difference between the ADFE output and the adder that sums up the feedforward filter (FFF) and FBF. A bank of registers which store all the symbols used in the modulation scheme is also utilised for this purpose. Using the proposed solution, the authors recast block ADFE equations in the frequency domain using distributed arithmetic (DA). The algorithm has a good convergence performance and utilises only few computations compared with the existing schemes.
机译：自适应判决反馈均衡器（ADFE）用于无线传输系统中，以减轻由于传输信号的多径传播而引起的符号间干扰（ISI）。在涉及快速变化信道的高速通信的情况下，需要快速收敛和低复杂度的ADFE。信号的频域块处理是处理此类高速系统中日益增加的复杂性的有效手段。但是，由于块ADFE本质上是非因果的，因此反馈滤波器（FBF）在每个块计算中都缺少未知决策。在这项研究中，作者提出了一种有效的方法来计算这些未知的决策。为此，作者试图根据两个标准的均值-绝对差（MAD）和ADFE输出与加法器之间的均方差来最小化成本函数，该加法器将前馈滤波器（FFF）和FBF相加。为此目的，还使用了一组存储调制方案中使用的所有符号的寄存器。使用提出的解决方案，作者使用分布式算法（DA）在频域中重铸了ADFE方程。与现有方案相比，该算法具有良好的收敛性能，并且仅利用很少的计算。

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