在连贯的自由空间光通信系统中,使用线性人口大小缩小的优化平衡优化算法的性能分析
Optics express
|August 13, 2025
概括
一个新的控制算法,优化平衡优化器 (LOEO),显著改善了无传感器自适应光学 (SLAO) 的自由空间光通信. 它可以更快,更精确地纠正大气流.
科学领域:
- 光学工程是指光学工程.
- 自由空间光学通信自由空间光学通信
- 适应光学是适应性的光学.
背景情况:
- 大气动荡会降低连贯自由空间光通信 (CFSOC) 的性能.
- 无传感器自适应光学 (SLAO) 系统对于减轻这些影响至关重要.
- SLAO系统的有效性在很大程度上取决于其控制算法.
研究的目的:
- 引入和评估SLAO系统的增强控制算法.
- 为了提高CFSOC中波面校正的速度,精度和稳定性.
- 为了证明拟议的算法适用于实际SLAO应用的适用性.
主要方法:
- 优化平衡优化器 (LOEO) 算法的开发,是平衡优化器 (EO) 的增强.
- 修改包括增强的控制参数,线性人口规模减少 (LPSR) 战略和修订的搜索框架.
- 为了验证算法的性能,进行了理论分析和数值模拟.
主要成果:
- 与现有方法相比,LOEO算法表现出卓越的精度,快速的校正速度和强大的稳定性.
- 校正速度比EO算法提高了约50%,比SPGD算法快15.92倍.
- 实验结果证实了LOEO算法在纠正扭曲的波面相位偏差方面的效率.
结论:
- LOEO算法是无传感器自适应光学系统的高效控制策略.
- 它的增强性能显著提高了连贯的自由空间光学系统的通信能力.
- 在光通信中,LOEO算法为克服大气流挑战提供了一个有希望的解决方案.
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