Estimation of random errors for lidar based on noise scale factor

doi:10.1088/1674-1056/24/8/084213

Abstract

Estimation of random errors, which are due to shot noise of photomultiplier tube (PMT) or avalanche photodiode (APD) detectors, is very necessary in lidar observation. Due to the Poisson distribution of incident electrons, there still exists a proportional relationship between standard deviation and square root of its mean value. Based on this relationship, noise scale factor (NSF) is introduced into the estimation, which only needs a single data sample. This method overcomes the distractions of atmospheric fluctuations during calculation of random errors. The results show that this method is feasible and reliable.

Keywords: atmospheric optics lidar random error noise factor noise scale factor

Received: 07 December 2014
Revised: 19 March 2015
Accepted manuscript online:

PACS:	42.68.-w	(Atmospheric and ocean optics)
	42.68.Wt	(Remote sensing; LIDAR and adaptive systems)
	85.60.Ha	(Photomultipliers; phototubes and photocathodes)

Fund:

Project supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB05040300) and the National Natural Science Foundation of China (Grant No. 41205119).

Corresponding Authors: Liu Jian-Guo
E-mail: jgliu@aiofm.ac.cn

Cite this article:

Wang Huan-Xue (王欢雪), Liu Jian-Guo (刘建国), Zhang Tian-Shu (张天舒) Estimation of random errors for lidar based on noise scale factor 2015 Chin. Phys. B 24 084213

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