光谱学与光谱分析, 2018, 38 (4): 1014, 网络出版: 2018-06-12  

IPDA激光雷达数据反演快速精确优化算法

A Rapid and Accurate Optimizing Algorithm for IPDA Lidar Data Inversion
作者单位
1 中国科学院安徽光学精密机械研究所, 中国科学院大气成分与光学重点实验室, 安徽合肥 230031
2 中国科学技术大学, 安徽 合肥 230026
3 上海卫星工程研究所, 上海 200240
摘要
研究了积分路径差分吸收(IPDA)激光雷达中采用洛伦兹线型代替伏格特线型对机载平台探测CO2柱浓度精度的影响。 建立仿真模型, 讨论两种线型在数据反演中对温度和气压的敏感性, 以及探测相对误差变化随飞行高度的变化。 结果表明: 伏格特和洛伦兹线型得到的吸收截面, 温度和气压敏感性, 相对随机误差分别为0.860%, -0.703%和0.224%, 基本没有差别, 但是洛伦兹线型可以有效地提高光谱参数计算效率。 机载IPDA激光雷达采用洛伦兹线型可以快速高精度反演飞行路径上CO2柱浓度, 降低了对系统计算能力的要求, 有助于实现在飞期间数据实时反演和分析, 以及实施针对突发事件的飞行规划, 同时也有助于进一步实现机载激光雷达系统的小型化和集成化。
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(4): 1014. 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[J]. Spectroscopy and Spectral Analysis, 2018, 38(4): 1014.

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