基于自适应红外多波段联合光谱分析的高精度气体浓度反演研究
Research on high-precision gas concentration inversion based on adaptive infrared multi-band joint spectral analysis
摘要
Abstract
In this paper,we proposed an adaptive multi-band joint concentration inversion algorithm,which combines the transmittance stable range and the spectral width threshold to adaptively select the effective band of the measured gas.The nonlinear least squares fitting method is used to invert the concentration of each effective band and analyze the residual to obtain the concentration inversion results and their weights of each effective band.The accurate quantitative analysis of the concentration of the measured gas is realized by weighted averaging.The algorithm verification experiment is carried out.The results show that the stability coefficient of the adaptive multi-band joint concentration inversion algorithm is 0.9976.Compared with the traditional single-band and multi-band concentration inversion algorithms,the root mean square error of the inversion results is reduced by 64.44％and 41.52％,the mean relative error is reduced by 65.97％and 46.72％,and the mean absolute error is reduced by 66.32％and 47.74％respectively.It can be concluded that the inversion accuracy and stability are significantly improved.关键词
有效波段选择/残差分析/加权平均/自适应多波段联合浓度反演Key words
effective band selection/residual analysis/weight average/adaptive multi-band joint concentra-tion inversion分类
信息技术与安全科学引用本文复制引用
王冠程,吕金光,梁静秋,赵百轩,郑凯丰,陈宇鹏,赵莹泽,秦余欣,王惟彪,刘国豪,盛开洋..基于自适应红外多波段联合光谱分析的高精度气体浓度反演研究[J].中国光学（中英文）,2024,17(6):1340-1350,11.基金项目
吉林省科技发展计划(No.20230201049GX,No.20230508137RC,No.20230508141RC,No.20240602066RC) （No.20230201049GX,No.20230508137RC,No.20230508141RC,No.20240602066RC）
国家自然科学基金(No.61627819,No.62305339,No.61727818,No.61805239) （No.61627819,No.62305339,No.61727818,No.61805239）
中国科学院青年创新促进会人才基金(No.2018254) （No.2018254）
国家重点研发计划(No.2022YFB3604702)Supported by Jilin Provincial Scientific and Technological Development Program(No.20230201049GX,No.20230508137RC,No.20230508141RC,No.20240602066RC) （No.2022YFB3604702）
National Natural Science Foundation of China(No.61627819,No.62305339,No.61727818,No.61805239) （No.61627819,No.62305339,No.61727818,No.61805239）
Youth Innovation Promotion Association Foundation of the Chinese Academy of Sciences(No.2018254) （No.2018254）
National Key R&D Program of China(No.2022YFB3604702) （No.2022YFB3604702）
