摘要
为解决当前光纤激光器脉冲振幅均衡过程中存在的一些难题,提高光纤激光器脉冲振幅均衡精度,提出了基于信号处理技术的光纤激光器脉冲振幅均衡方法研究。首先通过信号重采样技术将光纤激光器脉冲振幅信号变为阶比值固定的信号,然后根据小波调节方法提取不同阶比分量,最后利用机器学习算法实现光纤激光器脉冲振幅均衡。仿真实验结果表明,所提方法的光纤激光器脉冲振幅均衡延时最高为16 ms,光纤激光器脉冲振幅均衡复杂度平均为0.018%,脉冲能量平均为634 mJ,能够有效获得理想的光纤激光器脉冲振幅均衡结果。
In order to solve some problems in process of pulse amplitude equalization of fiber lasers and improve the accuracy of pulse amplitude equalization of fiber lasers, a method of pulse amplitude equalization of fiber lasers based on signal processing technology is proposed. Firstly, the pulse amplitude signal of fiber laser is changed into a signal with fixed order ratio by signal resampling technology, and then different order ratio components are extracted according to wavelet adjustment method. Finally, the pulse amplitude equalization of fiber laser is realized by machine learning algorithm.The simulation results show that the maximum delay of fiber laser pulse amplitude equalization is 16 ms, its average complexity is 0.018%, and the average pulse energy is 634 mJ, which can effectively obtain ideal fiber laser pulse amplitude equalization results.
作者
龙小丽
李欣雪
覃凤
LONG Xiaoli;LI Xinxue;QIN Feng(Guangdong Technology College,Zhaoqing Guangdong 526100,China)
出处
《激光杂志》
CAS
北大核心
2022年第3期134-137,共4页
Laser Journal
基金
广东省普通高校青年创新人才项目(No.2020KQNCX113)
广东理工学院“创新强校工程”科研项目(No.2020GKJZK002)
广东理工学院“质量工程”项目(No.ZDZY2019002)。
关键词
信号处理技术
光纤激光器
脉冲振幅
均衡实验
signal processing technology
fiber laser
pulse amplitude
equalization experiment
