Design and optimization of weakly coupled multi-core fiber
doi: 10.37188/CO.EN-2026-0006
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摘要:
为实现光纤结构参数的全面、高效及多目标精确优化,并进一步提升光通信系统的传输容量,本文引入粒子群优化算法(PSO)代替传统经验设计或局部扫描方法,设计一种基于沟槽辅助结构的同质弱耦合七芯光纤。在建立一个包含色散、截止波长、有效模场面积和涂层损耗等约束条件的多目标适应度函数的基础上,利用粒子群优化算法进行全局搜索,在标准尺寸约束下精确确定光纤的最佳结构参数。仿真结果表明:在光纤纤芯间距为45 μm时,优化后的光纤在
1550 nm波长处实现了低于−90 dB/km的超低芯间串扰,有效解决了多芯光纤中串扰抑制与空间利用率之间的冲突,证明了粒子群算法在复杂光纤结构设计中的高效性与可靠性,为超大容量光纤通信系统的研发与制造提供了重要的理论依据和技术支持。Abstract:In order to achieve comprehensive, highly efficient, and multi-objective precise optimization of fiber structural parameters and further enhance the transmission capacity of optical communication systems, a homogeneous weakly coupled seven-core fiber based on trench-assisted structures is designed. Particle Swarm Optimization (PSO) is introduced to replace traditional empirical designs or local scanning methods. First, a multi-objective fitness function incorporating constraints such as dispersion, cutoff wavelength, effective mode field area, and coating loss is established. Then, the algorithm performs a global search to precisely determine the optimal structural parameters under standard dimensional constraints. Simulation results demonstrate that with a fiber core pitch of 45 μm, the optimized fiber achieves an ultra-low inter-core crosstalk of below −90 dB/km at a wavelength of
1550 nm. This design scheme not only effectively resolves the conflict between crosstalk suppression and spatial utilization in multi-core fibers but also proves the efficiency and reliability of the PSO algorithm in complex fiber structural design, providing an important theoretical basis and technical support for the research and manufacturing of ultra-large-capacity optical communication systems. -
Table 1. Parameter combination
Parameters Range Step Choices $ {a}_{1}[\mu m] $ 4~5 0.1 11 $ {w}_{cl}[\mu m] $ 2.5~7.5 0.1 51 $ {w}_{tr}[\mu m] $ 2.5~7.5 0.1 51 $ {\Delta }_{1} $ 0.3%~0.6% 0.01% 31 $ {\Delta }_{2} $ −0.7%~−0.35% 0.01% 36 $ \Lambda [\mu m] $ 30~45 0.1 151 -
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