A Rapid and Accurate Optimizing Algorithm for IPDA Lidar Data Inversion
MA Hui1, 2, LIU Dong1*, LI Wen-feng3, LIAO He3, XIE Chen-bo1, WANG Zhen-zhu1, WANG Bang-xin1, HUANG Jian1, WANG Ying-jian1, 2*
1. Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
2. University of Science and Technology of China, Hefei 230026, China
3. Shanghai Institute of Satellite Engineering, Shanghai 200240, China
Abstract：Influences of Lorentz shape instead of Voigt shape on airborne CO2 column ratio precision measurement in integrated path differential absorption (IPDA) lidar are studied in this paper. The differences of temperature and pressure sensitivity, and relative random error between two line shapes with the platform height are investigated by model simulation. The result shows that, there are small differences between two line shapes in the bottom atmosphere for absorption cross-section, temperature and pressure sensitivity, and relative random error, which are 0.860%, -0.703% and 0.224% respectively, while the time of computation of spectral parameters can be effectively reduced by using Lorentz shape. The airborne IPDA lidar using Lorentz shape can provide rapid and efficiency ability to retrieve CO2 column ratio along the flight track, lower requirement of system computational capability, retrieve and analyze data during flight and manage flight strategy on the emergency. Meanwhile it will further contribute to realize the miniaturization and integration of airborne lidar system.
马 晖，刘 东，李文峰，廖 鹤，谢晨波，王珍珠，王邦新，黄 见，王英俭. IPDA激光雷达数据反演快速精确优化算法[J]. 光谱学与光谱分析, 2018, 38(04): 1014-1018.
MA Hui, LIU Dong, LI Wen-feng, LIAO He, XIE Chen-bo, WANG Zhen-zhu, WANG Bang-xin, HUANG Jian, WANG Ying-jian. A Rapid and Accurate Optimizing Algorithm for IPDA Lidar Data Inversion. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1014-1018.
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