Instrumentation, Techniques, and Measurement

Optimization of scanning Fabry–Perot interferometer in the high spectral resolution lidar for stratospheric temperature detection

[+] Author Affiliations
Jiawei Qiu, Mingjia Shangguan, Chong Wang

University of Science and Technology of China, School of Earth and Space Science, No. 96 Jinzhai Road, Baohe District, Hefei 230026, China

Haiyun Xia

University of Science and Technology of China, School of Earth and Space Science, No. 96 Jinzhai Road, Baohe District, Hefei 230026, China

Chinese Academy of Science, Key Laboratory of Geospace Environment, No. 96 Jinzhai Road, Baohe District, Hefei 230026, China

Harbin Institute of Technology, Collaborative Innovation Center of Astronautical Science and Technology, No. 92 Xidazhi Street, Nangang District, Harbin 150001, China

Xiankang Dou

University of Science and Technology of China, School of Earth and Space Science, No. 96 Jinzhai Road, Baohe District, Hefei 230026, China

Chinese Academy of Science, Key Laboratory of Geospace Environment, No. 96 Jinzhai Road, Baohe District, Hefei 230026, China

Yunpeng Zhang

Tsinghua University, Center for Photonics and Electronics, Department of Precision Instrument, Zhongguancun Street, Haidian District, Beijing 494375, China

Opt. Eng. 55(8), 084107 (Aug 23, 2016). doi:10.1117/1.OE.55.8.084107
History: Received April 18, 2016; Accepted August 2, 2016
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Abstract.  Although the optimization of a static Fabry–Perot interferometer (FPI)—used as a Doppler shift discriminator in wind lidar—has been proposed, it cannot be applied to the scanning FPI used in the high-spectral resolution lidar for temperature detection. After a comparison, the optimal scanning implementation is chosen and a new optimization scheme is proposed. The free spectral range (FSR) of the FPI is determined by the width of the Rayleigh spectrum. Then, for analytical purposes, the transmission of Rayleigh backscattering through an FPI is simplified to be a superposition of a Gaussian function and a constant background. The maximum likelihood estimation and the Cramer–Rao bound theory are used to derive an analytic expression of the temperature error. Thus, the effective reflectance of the FPI can be optimized. Finally, assuming known atmospheric temperature–pressure–density profiles, backscattering raw signals are simulated using the optimized parameters of the FPI and some other key system parameters of our existing lidar system. Comparisons between the assumed and retrieved temperature profiles revealed that error <2  K can be achieved in the altitude range of 15 to 40 km, even with the disturbance of aerosol contamination.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Jiawei Qiu ; Haiyun Xia ; Xiankang Dou ; Mingjia Shangguan ; Chong Wang, et al.
"Optimization of scanning Fabry–Perot interferometer in the high spectral resolution lidar for stratospheric temperature detection", Opt. Eng. 55(8), 084107 (Aug 23, 2016). ; http://dx.doi.org/10.1117/1.OE.55.8.084107


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