This paper presents a blind adaptive decision feedback equalization (DFE) scheme for QAM signals, which uses block processing and is based on the constant modulus algorithm (CMA) [1]. A two-phase scheme is proposed in which the equalizer switches from the blind mode to decision feedback mode after the blind scheme has converged If the error level is low and the equalizer output is reliable then DFE is successful and all intersymbol interference (ISI) can be removed by this scheme. The block DFE scheme is tested with two blind equalization schemes (i) CMA and (ii) CMA+AMA [3]. Their performance is compared to the original CMA/AMA scheme of [2], and to each of the blind equalization schemes operating alone. The convergence behavior of the AMA cost function is used to evaluate performance of the different schemes. In addition, the average symbol error rate (SER) is compared for the different schemes by Monte Carlo simulation.
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机译：本文介绍了QAM信号的盲自适应判定均衡（DFE）方案，它使用块处理，基于恒定模量算法（CMA）[1]。提出了一种两相方案，其中均衡器从盲模式从盲模式切换到拒绝方案的判定反馈模式，如果误差水平低，并且均衡器输出可靠，则DFE成功且所有符号间干扰（ISI）都可以通过此计划删除。用两个盲均衡方案（I）CMA和（II）CMA + AMA [3]测试块DFE方案。它们的性能与[2]的原始CMA / AMA方案进行了比较，以及单独操作的每个盲均衡方案。 AMA成本函数的收敛行为用于评估不同方案的性能。此外，通过Monte Carlo仿真比较了平均符号错误率（SER）。
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