Influence of a signal description model on the calculations of the efficiency indicators of optoelectronic systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.210769

Keywords:

optoelectronic system, corpuscular theory, wave theory of light, statistical model, detection

Abstract

The work is aimed at establishing the boundaries of the use of models for describing signals in optoelectronic systems in calculating efficiency.

A description of the signal formation process is proposed, taking into account the corpuscular and wave properties when registering signals in a wide range of intensities.

A description of the statistical features of the output signals depending on the energy properties of the signal and noise components is proposed. It is shown that when describing the output signals of optoelectronic systems that register signals with different properties, Poisson and Gaussian distributions are used. The invariance of Poisson flows determines the description of an additive mixture of signal and background flows using Poisson flow.

The efficiency of optoelectronic systems is calculated by the signal-to-noise ratio criterion based on the corpuscular and wave description of signals. Efficiency calculations have shown the expedience of using this criterion, provided that the statistical properties of signal and background flows are stabilized. It is shown that under the condition of changes in the energy characteristics of signals, from the point of view of the wave and corpuscular models, the statistical characteristics of the signals have different descriptions.

The analysis of theoretical methods of signal analysis in optoelectronic systems is carried out, which is aimed at an adequate characteristic of the system operation, depending on the conditions of its operation. Taking into account the method of describing the process of receiving and processing signals will take into account additional statistical characteristics of signals, for example, an increase of the variance of the output signal. The use of adaptive methods for describing signals will make it possible to increase the efficiency of systems when receiving strong signals in a difficult interference environment, as well as when receiving weak signals

Author Biographies

Tatiana Strelkova, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Associate Professor

Department of Microelectronics, Electronic Devices and Appliances

Aleksandr Lytuyga, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

PhD, Senior Researcher

Department of Microelectronics, Electronic Devices and Appliances

Aleksandr Kalmykov, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Postgraduare Student

Department of Microelectronics, Electronic Devices and Appliances

Ganna Khoroshun, Volodymyr Dahl East Ukrainian National University Tsentralnyi ave., 59-A, Severodonetsk, Ukraine, 93404

PhD, Associate Professor

Department of Urban Planning, Construction and Spatial Planning

Andrii Riazantsev, Volodymyr Dahl East Ukrainian National University Tsentralnyi ave., 59-A, Severodonetsk, Ukraine, 93404

Postgraduare Student

Department Computer Sciences and Engineering

Oleksandr Ryazantsev, Volodymyr Dahl East Ukrainian National University Tsentralnyi ave., 59-A, Severodonetsk, Ukraine, 93404

Doctor of Technical Sciences, Professor, Vice-Rector for Scientific-Educational Affairs and International Cooperation

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Published

2020-08-31

How to Cite

Strelkova, T., Lytuyga, A., Kalmykov, A., Khoroshun, G., Riazantsev, A., & Ryazantsev, O. (2020). Influence of a signal description model on the calculations of the efficiency indicators of optoelectronic systems. Eastern-European Journal of Enterprise Technologies, 4(5 (106), 41–50. https://doi.org/10.15587/1729-4061.2020.210769

Issue

Vol. 4 No. 5 (106) (2020): Applied physics

Section

Applied physics

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Copyright (c) 2020 Tatiana Strelkova, Aleksandr Lytuyga, Aleksandr Kalmykov, Ganna Khoroshun, Andrii Riazantsev, Oleksandr Ryazantsev

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