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Design and analyses of a fast feed-forward blind equalizer with two-stage generalized multilevel modulus and soft decision-directed scheme for high-order QAM cable downstream receivers

机译:高阶QAM电缆下游接收机两阶段广义多级模量和软判决定向方案的快速前馈盲均衡器设计与分析

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摘要

In the present study, a fast feed-forward blind equalizer with a two-stage generalized multilevel modulus algorithm (GMMA) and soft decision-directed (SDD) scheme was developed for high-order QAM cable receivers on broadcasting downstream wired cable channels. The proposed fast blind equalization algorithm uses a two-stage convergence strategy, and the modified SDD part applies an adaptively selected decision region. At the first convergence stage, joint GMMA and modified SDD equalization was applied for fast convergence. When the convergence process reached the steady state, the convergence detector changed the first equalization stage to the second stage. At the second stage, the modified SDD scheme reduced the mean square error (MSE) further. To prove the convergence, MSE analyses of two-stage GMMA+SDD /SDD blind equalization in the steady state were conducted. On the wired cable channel at 64, 256, and 1024QAM modes, the proposed blind algorithm had a faster convergence speed than previous blind methods. The proposed algorithm also achieved a smaller MSE than the other methods at the same signal-to-noise ratio (SNR). When the proposed method used the architecture of the decision-feedback equalizer (DFE) with a SDD-based feedback FIR filter (FBF), the steady-state MSE and bit-error-rate (BER) decreased further.
机译:在本研究中,针对广播下行有线信道上的高阶QAM电缆接收器,开发了一种具有两阶段广义多级模量算法(GMMA)和软判决定向(SDD)方案的快速前馈盲均衡器。所提出的快速盲均衡算法采用两阶段收敛策略,而改进的SDD部分则采用自适应选择的决策区域。在第一个收敛阶段,将联合GMMA和改进的SDD均衡应用于快速收敛。当收敛过程达到稳态时,收敛检测器将第一均衡阶段更改为第二阶段。在第二阶段,改进的SDD方案进一步降低了均方误差(MSE)。为了证明收敛性,对稳态下的两阶段GMMA + SDD / SDD盲均衡进行了MSE分析。在64、256和1024QAM模式下的有线电缆信道上,所提出的盲算法比以前的盲方法具有更快的收敛速度。在相同的信噪比(SNR)下,该算法还比其他方法实现了更小的MSE。当所提出的方法将决策反馈均衡器(DFE)与基于SDD的反馈FIR滤波器(FBF)一起使用时,稳态MSE和误码率(BER)进一步降低。

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