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An improved decision feedback equalization using a priori information

机译：使用先验信息的改进的决策反馈均衡

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摘要

This paper addresses the exhaustive computational complexity of the maximum-α-posteriori equalizer and the inefficiency of the conventional decision feedback equalizer (DFE) algorithm in iterative equalization, especially when the higher-level modulation is used with severely distorted Inter Symbol Interference channels. The new method proposed here improves the bit error rate (BER) performance by computing the extra metric r_(n+1) using the feedback symbols from previous iteration and combining it with a priori information of the symbols. After each iteration, the hard-detected symbols are saved in the memory as a priori data for next iteration. We verified the proposed algorithm for Binary Phase Shift Keying and 8-phase shift keying modulation. The promising simulation results show that the BER performance given by the proposed low complexity DFE algorithm improved dramatically throughout the iterations when the conventional DFE has only insignificant improvement in the process of iterative equalization.
机译：本文讨论了最大α后验均衡器的穷举计算复杂性和常规决策反馈均衡器（DFE）算法在迭代均衡中的效率低下，尤其是在高层失真严重的符号间干扰信道使用高阶调制时。此处提出的新方法通过使用来自先前迭代的反馈符号计算额外度量r_（n + 1）并将其与符号的先验信息进行组合，从而提高了误码率（BER）性能。在每次迭代之后，将难以检测的符号作为先验数据保存在存储器中，以用于下一次迭代。我们验证了所提出的二进制相移键控和8相移键控调制算法。有希望的仿真结果表明，当传统的DFE在迭代均衡过程中只有微不足道的改进时，所提出的低复杂度DFE算法所提供的BER性能在整个迭代过程中得到了显着改善。

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