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自适应光学(AO)技术是缓解自由空间光通信(FSO)系统中大气湍流影响的有效途径之一,无波前探测能不依赖波前传感器直接对通信性能进行优化。对基于差分进化(DE)、随机并行梯度下降(SPGD)和模拟退火(SA)算法的无波前探测自适应光学技术在FSO系统中的应用过程进行模拟仿真,并对比校正前后不同湍流强度下FSO系统的耦合效率、误码率及光强起伏的变化情况,分析优化算法的畸变波前校正能力。结果表明三种算法均能有效提高FSO系统的通信性能,DE算法虽迭代速率较慢,但效果最优,尤其适合于强湍流情况。
Adaptive optical (AO) technology is one of the effective ways to mitigate the effects of atmospheric turbulence in free space optical communication (FSO) systems. Wavefront-based detection can directly optimize communication performance without relying on wavefront sensors. The application process of wavefront-based adaptive optics based on differential evolution (DE), SPGD and SA algorithm in FSO system is simulated and compared with different turbulence intensities before and after calibration FSO system coupling efficiency, bit error rate and fluctuations in light intensity changes, analysis of optimization algorithm distortion wavefront correction. The results show that all the three algorithms can effectively improve the communication performance of the FSO system. The DE algorithm, though slower in iteration rate, has the best effect and is especially suitable for strong turbulence.