Paper
20 November 2009 Noise filtering of rotational Raman lidar using threshold amendment for atmospheric temperature measurement
Weiguo Kong, Siying Chen, Yinchao Zhang, Tian Lan, Zongjia Qiu, Yuzhao Wang, Peng Liu, Guoqiang Ni
Author Affiliations +
Abstract
Pure Rotational Raman Lidar is a new technique for detecting vertical troposphere temperature profile. Since the backscattering Raman signals are so weak that the photon-counting method is applied by using a multiscaler. By setting the threshold of the multiscaler, most noises mixed with the signals can be filtered. However, difference exists between the set threshold and the actual threshold of the two count channels, and also exists between the set thresholds of the two count channels. This will affect quick-setting of the appropriate thresholds. In this paper, a rule is put forward and the measuring system is established to confirm the set threshold value corresponding to an actual one, making use of the amplitude fluctuation of square wave. By this system, pairs of set threshold and actual threshold are obtained, and the curve of the set threshold against the actual threshold of a single count channel, as well as the curve of thresholds of the two count channels, is fitted. The theoretical analysis is well agreed with the experimental results, and it indicates that the appropriate threshold can be set more quickly by using the curve.
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Weiguo Kong, Siying Chen, Yinchao Zhang, Tian Lan, Zongjia Qiu, Yuzhao Wang, Peng Liu, and Guoqiang Ni "Noise filtering of rotational Raman lidar using threshold amendment for atmospheric temperature measurement", Proc. SPIE 7511, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 75111W (20 November 2009); https://doi.org/10.1117/12.838116
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KEYWORDS
Raman spectroscopy

LIDAR

Temperature metrology

Optoelectronics

Troposphere

Atmospheric particles

Atmospheric sensing

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