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Modified artificial fish school algorithm for free space optical communication with sensor-less adaptive optics system

机译:与传感器自适应光学系统的自由空间光通信修改人工鱼类算法

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The performance of free space optical (FSO) communication system is limited by atmospheric turbulent extremely. Adaptive optics (AO) is the significant method to overcome the atmosphere disturbance. Especially, for the strong scintillation effect, the sensor-less AO system plays a major role for compensation. In this paper, a modified artificial fish school (MAFS) algorithm is proposed to compensate the aberrations in the sensor-less AO system. Both the static and dynamic aberrations compensations are analyzed and the performance of FSO communication before and after aberrations compensations is compared. In addition, MAFS algorithm is compared with artificial fish school (AFS) algorithm, stochastic parallel gradient descent (SPGD) algorithm and simulated annealing (SA) algorithm. It is shown that the MAFS algorithm has a higher convergence speed than SPGD algorithm and SA algorithm, and reaches the better convergence value than AFS algorithm, SPGD algorithm and SA algorithm. The sensor-less AO system with MAFS algorithm effectively increases the coupling efficiency at the receiving terminal with fewer numbers of iterations. In conclusion, the MAFS algorithm has great significance for sensor-less AO system to compensate atmospheric turbulence in FSO communication system.
机译:自由空间光学(FSO)通信系统的性能受到大气湍流的限制。自适应光学(AO)是克服大气障碍的重要方法。特别是,对于强烈的闪烁效果,传感器的AO系统对补偿发挥着重要作用。在本文中,提出了一种改进的人工鱼类学校(MAFS)算法来补偿传感器的AO系统中的像差。分析了静态和动态像差补偿,比较了像差补偿之前和之后的FSO通信的性能。此外,将MAFS算法与人工鱼类学校(AFS)算法进行比较,随机平行梯度下降(SPGD)算法和模拟退火(SA)算法。结果表明,MAFS算法具有比SPGD算法和SA算法更高的收敛速度,并且达到了比AFS算法,SPGD算法和SA算法更好的收敛值。具有MAFS算法的传感器较少的AO系统有效地提高了接收终端的耦合效率,迭代数量较少。总之,MAFS算法对传感器的AO系统具有重要意义,以补偿FSO通信系统中的大气湍流。

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