摘要
通过测量光热振荡周期可以检测出CaF2光学微谐振腔腔体与环境之间的热耗散率,然而多个振荡周期与热耗散率呈非线性关系,无法利用某个振荡周期值有效测量热耗散率。使用一种基于反向传播人工神经网络的传感数据测量模型,通过测量振荡周期值,实现了热耗散率的有效测量,优化了神经网络参数,提高了热耗散率测量精度。数值仿真结果表明,该方法可有效测量CaF2光学微谐振腔的热耗散率,对实现基于光学微腔的热参量探测具有重要意义。
The heat dissipation rate between a CaF2 optical micro-cavity bulk and the environment can be detected by measuring the thermo-optic oscillation period. However, there exists a nonlinear relation between the heat dissipation rate and multiple oscillation periods, and thus the heat dissipation rate cannot be effectively detected at a certain oscillation period. A sensing data measurement model based on the back-propagation artificial neural network was applied, and the heat dissipation rate was effectively measured by measuring the oscillation periods. The neural network parameters were optimized to improve the measurement accuracy of heat dissipation rate. The numerical simulation results demonstrate that the proposed method can effectively detect the heat dissipation rate in a CaF2 optical micro-cavity, which is essential for realizing thermal parameter sensing based on an optical micro-cavity.
作者
郭栋
邹长铃
任宏亮
卢瑾
覃亚丽
郭淑琴
胡卫生
Guo Dong;Zou Changling;Ren Hongliang;Lu Jin;Qin Yali;Guo Shuqin;Hu Weisheng(College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China;Synergetic Innovation Center of Quantum Information and Quantum Physics,University of Science and Technology of China , Hefei, Anhui 230026, China;State Key Laboratory of Ad vanced Optical Communication Systems and Netivorks,Shanghai Jiao Tong University, Shanghai 200240, China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2019年第5期179-188,共10页
Acta Optica Sinica
基金
国家自然科学基金(60907032,61675184,61675183)
浙江省自然科学基金(LY16F050009)
上海交通大学区域光纤通信网与新型光通信系统国家重点实验室开放基金(2016GZKF0JT004)
关键词
光热振荡
热耗散率
振荡周期
人工神经网络
optic-thermo oscillation
heat dissipate rate
oscillation period, artificial neural network
