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Channel impulse response equalization scheme based on particle swarm optimization algorithm in mode division multiplexing

机译:基于粒子群优化算法在模式分割复用算法的信道脉冲响应均衡方案

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摘要

Mode division multiplexing (MDM) technique has been introduced as a promising solution to the rapid increase of data traffic. However, although MDM has the potential to increase transmission capacity and significantly reduce the cost and complexity of parallel systems, it also has its challenges. Along the optical fibre link, the deficient characteristics always exist. These characteristics, damage the orthogonality of the modes and lead to mode coupling, causing Inter-symbol interference (SI) which limit the capacity of MDM system. In order to mitigate the effects of mode coupling, an adaptive equalization scheme based on particle swarm optimization (PSO) algorithm has been proposed. Compared to other traditional algorithms that have been used in the equalization process on the MDM system such as least mean square (LMS) and recursive least squares (RLS) algorithms, simulation results demonstrate that the PSO algorithm has flexibility and higher convergence speed for mitigating the effects of nonlinear mode coupling.
机译:已经引入了模式分割复用(MDM)技术作为对数据流量的快速增长的有希望的解决方案。但是,虽然MDM有可能提高传输能力并显着降低并行系统的成本和复杂性,但它也具有其挑战。沿光纤链路沿着光纤链路,缺陷的特性始终存在。这些特征,损坏模式的正交性并导致模式耦合,导致符号间干扰(SI),这限制了MDM系统的容量。为了减轻模式耦合的影响,提出了一种基于粒子群优化(PSO)算法的自适应均衡方案。与已在MDM系统上的均衡过程中使用的其他传统算法相比,例如最小均方(LMS)和递归最小二乘(RLS)算法,仿真结果表明,PSO算法具有可柔韧性和更高的收敛速度来缓解非线性模式耦合的影响。

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