Smooth pulse recovery based on hybrid wavelet threshold denoising and first derivative adaptive smoothing filter

作     者：Xinlei Qian Wei Fan Xinghua Lu Xiaochao Wang 

作者机构：National Laboratory on High Power Laser and PhysicsShanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China Center of Materials Science and Optoelectronics EngineeringUniversity of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《High Power Laser Science and Engineering》 (高功率激光科学与工程（英文版）)

年 卷 期：2021年第9卷第2期

页      面：17-25页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 082701[工学-核能科学与工程] 0827[工学-核科学与技术] 

基　　金：the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA25020303) 

主　　题：first derivative adaptive smoothing filter recovery of smooth pulse signal-to-noise ratio wavelet threshold denoising 

摘      要：Based on the pulse-shaping unit in the front end of high-power laser facilities,we propose a new hybrid scheme in a closed-loop control system including wavelet threshold denoising for pretreatment and a first derivative adaptive smoothing filter for smooth pulse recovery,so as to effectively restrain the influence of electrical noise and FM-to-AM modulation in the time–power curve,and enhance the calibration accuracy of the pulse shape in the feedback control *** related simulation and experiment results show that the proposed scheme can obtain a better shaping effect on the high-contrast temporal shape in comparison with the cumulative average algorithm and orthogonal matching pursuit algorithm combined with a traditional smoothing *** implementation of the hybrid scheme mechanism increased the signal-to-noise ratio of the laser pulse from about 11 dB to 30 dB,and the filtered pulse is smooth without modulation,with smoothness of about 98.8%.