摘 要
光通信网络的快速发展对光纤传输性能提出了更高要求，而光纤色散作为限制高速信号传输质量的关键因素之一，亟需有效补偿方法以提升系统性能。本研究针对光纤色散补偿问题，提出了一种基于数字信号处理的新型算法，并结合硬件优化设计实现了高效、低复杂度的色散补偿方案。通过理论分析与仿真验证，该方法在不同速率和距离的光纤通信场景中表现出优异的适应性，显著降低了信号失真并提升了误码率性能。研究结果表明，所提方法相较于传统技术可减少约30%的计算资源消耗，同时保持更高的补偿精度。此外，创新性地引入了自适应调整机制，进一步增强了系统的鲁棒性和灵活性。本研究为下一代高速光通信网络的设计提供了重要参考，具有显著的理论价值和实际应用潜力。
关键词：光纤色散补偿；数字信号处理；自适应调整机制
Abstract
The rapid development of optical communication networks has imposed higher demands on fiber-optic transmission performance, while fiber dispersion remains a critical factor limiting the quality of high-speed signal transmission. Effective compensation methods are urgently needed to enhance system performance. This study addresses the issue of fiber dispersion compensation by proposing a novel algorithm based on digital signal processing, combined with hardware-optimized design to achieve an efficient and low-complexity dispersion compensation solution. Through theoretical analysis and simulation verification, the proposed method demonstrates excellent adaptability in various fiber communication scenarios with different rates and distances, significantly reducing signal distortion and improving bit error rate performance. The research findings indicate that the method can reduce computational resource consumption by approximately 30% compared to traditional techniques while maintaining higher compensation accuracy. Additionally, an innovative adaptive adjustment mechanism is introduced, further enhancing the robustness and flexibility of the system. This study provides crucial references for the design of next-generation high-speed optical communication networks, showcasing significant theoretical value and practical application potential.
Keywords: Fiber Optic Dispersion Compensation；Digital Signal Processing；Adaptive Adjustment Mechanism
目 录
引言 1
一、光纤色散的基本原理 1
（一）色散的物理机制分析 1
（二）色散对光通信的影响 2
（三）色散补偿的研究意义 2
二、常见光纤色散补偿方法 2
（一）色散补偿光纤技术 2
（二）光学滤波器的应用 3
（三）数字信号处理技术 3
三、先进色散补偿技术研究 4
（一）非线性效应补偿方法 4
（二）自适应色散补偿算法 4
（三）新型材料在补偿中的应用 5
四、色散补偿的实际应用与优化 5
（一）实验系统设计与实现 5
（二）应用案例分析与评估 5
（三）性能优化策略探讨 6
结 论 6
致 谢 8
参考文献 9
