Paper
5 October 2007 Numerical simulation for differential absorption lidar system
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Abstract
In the recent years, the most country in the word attach importance to the environmental and the protection of environmental doubly. The differential absorption lidar (DIAL)operating in the infrared wavelengths is a powerful standoff sensor for rapid remote detection of chemical emissions. It represents also a powerful technique for pollution monitoring of the atmosphere environment. Whereas, the numerical simulation system of DIAL has been shown that is a powerful tool for system design and performance evaluation and improved performance of system, along with research new information processing algorithm provided with the laboratory environment. In this Paper, a DIAL operating in the infrared(LWIR)numerical simulated system is established. It can simulate both traditional two-wavelength DIAL and multi-wavelength DIAL. It simulates the directional or scanning two operational modes. One can obtain information by it such as gas kind, concentration and distribution and verify the information processing algorithms visually. It can generate the return signals and can calculate their SNR value for various simulated environment and weather and system conditions visually. In the paper, first review laser light atmospheric propagation characteristic and then, the environmental models is ascertained including the effects of the atmosphere attenuates and scatters, the atmospheric turbulence and the roughness target producing reflective speckle and so on. Especially, the DIAL simulated system includes some new information processing algorithms of discriminating target gases and estimating their concentration. By now, the DIAL simulated system combined with this information processing algorithms has not been reported.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-Ran Wang and Shi-Rong Yin "Numerical simulation for differential absorption lidar system", Proc. SPIE 6756, Chemical and Biological Sensors for Industrial and Environmental Monitoring III, 67560H (5 October 2007); https://doi.org/10.1117/12.729445
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Cited by 1 scholarly publication.
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KEYWORDS
Absorption

Atmospheric propagation

Atmospheric modeling

Data processing

Signal to noise ratio

LIDAR

Numerical simulations

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