用几何聚类技术实现色散补偿的硬件效率

Geraldo Gomes, Pedro Freire, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
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摘要

在现代光纤通信系统中,功率效率仍然是一个重大挑战,这促使人们努力降低数字信号处理的计算复杂度,尤其是色散补偿(CDC)算法的计算复杂度。虽然已经提出了各种降低复杂性的策略,但许多策略都缺乏必要的硬件实现来验证其优势。本文从理论上分析了相干接收机 CDC 滤波器中的抽头重叠效应,介绍了基于这一概念的新型时域集群均衡器 (TDCE) 技术,并提出了用于验证的现场可编程门阵列 (FPGA) 实现方法。我们为 TDCE 开发了一种创新的并行化方法,并在硬件中实现了该方法,适用于最长达 640 千米的光纤。我们还在相同条件下与最先进的频域均衡器(FDE)进行了公平比较。我们的研究结果突出表明,包括并行化和内存管理在内的实现策略与计算复杂度一样,对决定硬件复杂度和能效至关重要。与 FDE 相比,拟议的 TDCE 硬件实现实现了高达 70.7% 的能耗节省和 71.4% 的乘法器使用节省,尽管其计算复杂度更高。
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Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation
Power efficiency remains a significant challenge in modern optical fiber communication systems, driving efforts to reduce the computational complexity of digital signal processing, particularly in chromatic dispersion compensation (CDC) algorithms. While various strategies for complexity reduction have been proposed, many lack the necessary hardware implementation to validate their benefits. This paper provides a theoretical analysis of the tap overlapping effect in CDC filters for coherent receivers, introduces a novel Time-Domain Clustered Equalizer (TDCE) technique based on this concept, and presents a Field-Programmable Gate Array (FPGA) implementation for validation. We developed an innovative parallelization method for TDCE, implementing it in hardware for fiber lengths up to 640 km. A fair comparison with the state-of-the-art frequency domain equalizer (FDE) under identical conditions is also conducted. Our findings highlight that implementation strategies, including parallelization and memory management, are as crucial as computational complexity in determining hardware complexity and energy efficiency. The proposed TDCE hardware implementation achieves up to 70.7\% energy savings and 71.4\% multiplier usage savings compared to FDE, despite its higher computational complexity.
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