Author:
Tian Zhiyu,Zhang Hao,Chu Xinkun,Qin Ying,Zhang Qing,Geng Yuanchao,Huang Xiaoxia,Wang Wenyi,Wang Fang
Abstract
Abstract
In the process of laser pulse transmission, amplification and sampling measurement, the amplitude-to-frequency modulation (FM-to-AM) effect caused by spectral distortion leads to peak oscillation of waveform measurement data, which is difficult to be completely eliminated by improving measurement methods. In this paper, a method of removing the FM-to AM effect of pulse waveform data based on deep learning is proposed. After the original waveform data is de-modulated, the accuracy of waveform prediction is obviously improved. This technology can precisely remove modulated signals while retaining the key features of original data, and can well deal with various complex waveform data.
Subject
General Physics and Astronomy
Reference13 articles.
1. optical Propagation Modeling for the National Ignition Facility;Williams;Proceedings of SPIE - The International Society for Optical Engineering,2004
2. Laser performance operations model (LPOM): a tool to automate the setup and diagnosis of the National Ignition Facility;Shaw,2005
3. 3(omega) Power Balance Procedure on the NIF
4. The issue of FM to AM conversion on the National Ignition Facility;Browning;Proceedings of SPIE - The International Society for Optical Engineering,1999
5. FM-to-AM conversion in high-power lasers;Hocquet;Applied Optics,2008
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献