Paper
23 December 2003 Optimization of spectral filtering parameters of acousto-optic pure rotational Raman lidar for atmospheric temperature profiling
Jianhua Zhu, Lei Wan, Guosheng Nie, Xiaowei Guo
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Abstract
In this paper, as far as we know, it is the first time that a novel acousto-optic pure rotational Raman lidar based on acousto-optic tunable filter (AOTF) is put forward for the application of atmospheric temperature measurements. AOTF is employed in the novel lidar system as narrow band-pass filter and high-speed single-channel wavelength scanner. This new acousto-optic filtering technique can solve the problems of conventional pure rotational Raman lidar, e.g., low temperature detection sensitivity, untunability of filtering parameters, and signal interference between different detection channels. This paper will focus on the PRRS physical model calculation and simulation optimization of system parameters such as the central wavelengths and the bandwidths of filtering operation, and the required sensitivity. The theoretical calculations and optimization of AOTF spectral filtering parameters are conducted to achieve high temperature dependence and sensitivity, high signal intensities, high temperature of filtered spectral passbands, and adequate blocking of elastic Mie and Rayleigh scattering signals. The simulation results can provide suitable proposal and theroetical evaluation before the integration of a practical Raman lidar system.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianhua Zhu, Lei Wan, Guosheng Nie, and Xiaowei Guo "Optimization of spectral filtering parameters of acousto-optic pure rotational Raman lidar for atmospheric temperature profiling", Proc. SPIE 5154, Lidar Remote Sensing for Environmental Monitoring IV, (23 December 2003); https://doi.org/10.1117/12.504410
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KEYWORDS
Raman spectroscopy

LIDAR

Optical filters

Bandpass filters

Electronic filtering

Acousto-optics

Temperature metrology

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