Semiconductor Physics, Quantum Electronics & Optoelectronics, 25 (2), P. 211-218 (2022).
DOI: https://doi.org/10.15407/spqeo25.02.211


Compensation method for atmospheric attenuation of laser radiation in active electro-optical systems with dynamic spectral processing of optical signals

L.F. Kupchenko, A.S. Rybiak, А.V. Ponomar

Ivan Kozhedub Kharkiv National Air Force University
77/79, Sumska str., 61023 Kharkiv, Ukraine
Corresponding author e-mail: anattoliy@meta.ua

Abstract. This paper describes the compensation method for atmospheric attenuation of laser radiation, which can be implemented in active electro-optical systems with pre-detector dynamic spectral processing of optical signals. In these electro-optical systems, the spectral flux of sensing radiation is formed using multispectral laser signals based on a priori information about the spectral reflectance of the target and background. The sensing signal formed in this way ensures maximum suppression of the background signal at the output of system with minimal attenuation of the target signal. The influence of atmospheric radiation attenuation on operation of an active electro-optical system with dynamic spectral processing has been analyzed. It has been shown that the laser radiation attenuation in the atmosphere significantly affects the efficiency of dynamic spectral processing of optical signals (leads to a decrease in the target image contrast). The developed compensation method for atmospheric attenuation of radiation in active electro-optical systems with dynamic spectral processing is based on the fact that the spectral intensity of the sensing radiation is formed not only on the basis of a priori data on spectral characteristics of the target and background, but also takes into account the spectral transmittance of the optical radiation propagation medium.

Keywords: active electro-optical system, dynamic spectral processing, atmospheric attenuation of radiation, laser radiation.

Full Text (PDF)


Back to Volume 25 N2

Creative Commons License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.