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星地激光通信无波前传感器优化算法仿真分析

Simulation of optimum algorithms with wavefront sensorless in satellite-to-ground laser communication
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摘要 在星地激光通信中,大气扰动会降低通信质量,在通信的接收端对大气扰动进行补偿,能提高通信质量。通信中的强闪烁等会出现波前探测器不能探测出波前畸变的情况,需要采用无波前探测器的成像校正技术来实现星地激光通信中大气扰动的补偿。为了实现星地激光通信中大气扰动的实时补偿,对改进遗传、模拟退火和模式逼近法这三种优化控制算法进行了仿真,并从算法的收敛速度、校正效果、稳定性和变形镜操作次数等四个方面进行了比较和分析。仿真结果表明:遗传算法收敛速度慢,但将归一化光强从0.079 5提升到0.99,适合于对静态像差的校正;模式逼近法只需要2次迭代就能将归一化光强从0.079 5提升到0.862,适合于星地激光通信中大气扰动的实时校正。 In the system of satellite-to-ground laser communication, the atmosphere disturb reduces the quality of communication. Correcting disturb at the sink of the communication can improve the quality of communication. Sometimes, the sensor can't estimate the wave-front, so it needs to use wave-front sensor- less to correct the disturb. In order to compensate the disturb real-time, we simulated three improved optimum algorithms to correct the disturb, and compared the differences among Genetic algorithm(GA), sealing annealing algorithm (SA) and model-based approach algorithm in the convergence speed, precision, stability and the number of adding voltage to the deformed mirror. The simulation shows that: GA convergences very slowly, but can improve normalized intensity form 0.079 5 up to 0.99, It can be used in correcting the static aberration, the model-based approach algorithm only need two iterations to improve normalized intensity form 0.079 5 up to 0.862, It's proper for correcting the atmosphere disturb real-time.
出处 《红外与激光工程》 EI CSCD 北大核心 2013年第4期1063-1068,共6页 Infrared and Laser Engineering
基金 国家自然科学基金(40905011)
关键词 遗传算法 退火算法 模式逼近法 无波前探测器成像校正技术 genetic algorithm simulated annealing algorithm model-based approach algorithm wave-front sensor-less image-sharpening
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