In order to address the high-power consummation issue of conventional multi-input and multi-output (MIMO) adaptive equalizer (AEQ) for short-reach coherent transmissions, several state-of-the-art low-complexity AEQs have been proposed. In our work, optimized adaptation algorithms for low-complexity real-valued (RV) AEQs with different structures are analyzed. Moreover, an approach to avoid introducing additional computational complexity due to the optimized adaptation process is presented here. The advantages of proposed optimized adaptation algorithms are experimentally demonstrated in a 25 Gbaud dual-polarization 16-quadrature-amplitude-modulation (DP-16QAM) back-to-back (BtB) intradyne system with an overall bandwidth of 14 GHz. Experimental results show that a similar performance as the conventional AEQ could be achieved by using proposed adaptation algorithms and reducing the number of multiplications with up to ∼65%.

中文翻译：

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低复杂度自适应均衡器的优化自适应算法

为了解决用于短距离相干传输的传统多输入多输出（MIMO）自适应均衡器（AEQ）的高功率消耗问题，已经提出了几种最先进的低复杂度AEQ。在我们的工作中，分析了具有不同结构的低复杂度实值（RV）AEQ 的优化自适应算法。此外，这里提出了一种避免由于优化的适应过程而引入额外计算复杂性的方法。所提出的优化自适应算法的优点在总带宽为 14 GHz 的 25 Gbaud 双极化 16 正交调幅 (DP-16QAM) 背靠背 (BtB) 内差系统中得到了实验证明。实验结果表明，通过使用所提出的自适应算法并将乘法次数减少高达~65%，可以实现与传统 AEQ 类似的性能。