Atmospheric Visibility Sensor Based On Backscattering Using Correlation Coding Method

Tomasz Czarnecki , Krzysztof Perlicki , Grzegorz Wilczewski


An new atmospheric visibility sensor is described which uses an empirical relationship between atmospheric visibility and lidar backscatter signals. Specifically, autocorrelation analysis is performed for lidar backscatter signals and the autocorrelation coefficients are shown to be a function of the correlation distance. The slope of this function is then connected to the atmospheric visibility under different weather conditions. It is experimentally demonstrated that this new sensor can reliably estimate the atmospheric visibility in the range of 0–1,200 m
Author Tomasz Czarnecki (FEIT / IT)
Tomasz Czarnecki,,
- The Institute of Telecommunications
, Krzysztof Perlicki (FEIT / IT)
Krzysztof Perlicki,,
- The Institute of Telecommunications
, Grzegorz Wilczewski (FEIT / IT)
Grzegorz Wilczewski,,
- The Institute of Telecommunications
Journal seriesOptical and Quantum Electronics, ISSN 0306-8919
Issue year2015
Publication size in sheets0.5
Keywords in EnglishAtmospheric visibility, Light backscattering, Correlation coding, Lidar
ASJC Classification2208 Electrical and Electronic Engineering; 3107 Atomic and Molecular Physics, and Optics; 2504 Electronic, Optical and Magnetic Materials
Languageen angielski
art10.1007-s11082-014-9951-x.pdf.pdf 705.88 KB
2015 Czarnecki Perlicki Wilczewski Atmospheric visibility sensor.pdf 700.36 KB
Score (nominal)25
Score sourcejournalList
ScoreMinisterial score = 20.0, 02-02-2020, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 02-02-2020, ArticleFromJournal
Publication indicators Scopus Citations = 2; WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2015 = 0.649; WoS Impact Factor: 2015 = 1.29 (2) - 2015=1.157 (5)
Citation count*
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Are you sure?