Semiconductor Physics, Quantum Electronics & Optoelectronics, 29 (2), P. 239-245 (2026).
DOI: https://doi.org/10.15407/spqeo29.02.239


Evaluation of noise immunity of multispectral optoelectronic message transmission systems

D.V. Pekur1*, V.I. Kornaga1, M.S. Kravchenko1, O.S. Oliinyk1, H.V. Bystrytskyi1, A.V. Turukalo2, Yu.E. Nikolaenko3, V.M. Sorokin1

1V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine
2Borys Grinchenko Kyiv Metropolitan University
3National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
*Corresponding author e-mail: demid.pekur@gmail.com

Abstract. The paper considers an approach to evaluate the noise immunity of multispectral optoelectronic systems for transmitting information messages. The relevance of this work is determined by the need to increase the reliability of optical communication, identification, navigation, and control channels under background illumination, electromagnetic interference, optical disturbances, partial channel obstruction, and nonuniform spectral attenuation of signals. It is shown that a simple increase in the power of a single semiconductor emitter increases the amplitude of the received signal but does not eliminate the fundamental vulnerability of a single-spectral system to selective interference within the chosen wavelength range. It is shown that the real advantage of the multispectral approach is determined not only by the number of spectral channels but also by their statistical independence, differences in the spectral characteristics of interference, and the ability of individual channels to retain information content under difficult transmission conditions. The proposed model can be used for numerical simulation, experimental verification, and optimization of LED-based multispectral message transmission systems for autonomous moving objects, unmanned aerial vehicles, robotic platforms, and local sensor networks.

Keywords: multispectral optoelectronic system, message transmission, noise immunity, signal-to-noise ratio, spectral channels, noise covariance matrix, Mahalanobis distance, error probability, LED emitters, optical wireless communication.

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