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Improved Artificial Bee Colony algorithm for wavefront sensor-less system in Free Space Optical communication

机译:自由空间光通信中无波前无传感器系统的改进人工蜂群算法

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Adaptive optics (AO) technology is an effective way to alleviate the effect of turbulence on free space optical communication (FSO). A new adaptive compensation method can be used without a wave-front sensor. Artificial bee colony algorithm (ABC) is a population-based heuristic evolutionary algorithm inspired by the intelligent foraging behaviour of the honeybee swarm with the advantage of simple, good convergence rate, robust and less parameter setting. In this paper, we simulate the application of the improved ABC to correct the distorted wavefront and proved its effectiveness. Then we simulate the application of ABC algorithm, differential evolution (DE) algorithm and stochastic parallel gradient descent (SPGD) algorithm to the FSO system and analyze the wavefront correction capabilities by comparison of the coupling efficiency, the error rate and the intensity fluctuation in different turbulence before and after the correction. The results show that the ABC algorithm has much faster correction speed than DE algorithm and better correct ability for strong turbulence than SPGD algorithm. Intensity fluctuation can be effectively reduced in strong turbulence, but not so effective in week turbulence.
机译:自适应光学(AO)技术是减轻湍流对自由空间光通信(FSO)的影响的有效方法。可以在没有波前传感器的情况下使用新的自适应补偿方法。人工蜂群算法(ABC)是一种基于种群的启发式进化算法,其灵感来自蜜蜂群的智能觅食行为,具有简单,收敛速度快,鲁棒性强和参数设置少的优点。在本文中,我们模拟了改进后的ABC在校正畸变波前的应用,并证明了其有效性。然后我们模拟了ABC算法,差分演化(DE)算法和随机平行梯度下降(SPGD)算法在FSO系统中的应用,并通过比较不同条件下的耦合效率,误差率和强度波动来分析波前校正能力。校正前后的湍流。结果表明,ABC算法比DE算法具有更快的校正速度,比SPGD算法具有更强的湍流校正能力。在强湍流中,强度波动可以被有效地减小,但是在周湍流中,强度波动不那么有效。

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