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16 November 2010 The analysis of signal-to-noise ratio of airborne LIDAR system under state of motion
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Abstract
This article gives an overview of airborne LIDAR (laser light detection and ranging) system and its application. By analyzing the transmission and reception process of laser signal, the article constructs a model of echo signal of the LIDAR system, and gives some basic formulas which make up the relationship of signal-to-noise ratio, for example, the received power, the dark noise power and so on. And this article carefully studies and analyzes the impact of some important parameters in the equation on the signal-to-noise ratio, such as the atmospheric transmittance coefficient, the work distance. And the matlab software is used to simulate the detection environment, and obtains a series values of signal-to-noise (SNR) ratio under different circumstances such as sunny day, cloudy day, day, night. And the figures which describe how the SNR of LIDAR system is influenced by the critical factors are shown in the article. Finally according to the series values of signal-to-noise ratio and the figures, the SNR of LIDAR system decreases as the distance increases, and the atmospheric transmittance coefficient caused by bad weather, and also high work temperature drops the SNR. Depending on these conclusions, the LIDAR system will work even better.
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Huang Hao, Tian Lan, Yingchao Zhang, and Guoqiang Ni "The analysis of signal-to-noise ratio of airborne LIDAR system under state of motion", Proc. SPIE 7843, High-Power Lasers and Applications V, 78431E (16 November 2010); https://doi.org/10.1117/12.869967
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