S.T. Magomedsayidova1, G.A. Mutalipova2, T.D. Nezhvedilov3, M.A. Magomedov4

1–3 Dagestan State Technical University (Makhachkala, Russia)
4 Gazprom Transgaz Makhachkala LLC (Makhachkala, Russia)
1 sarat.66@mail.ru

Problem statement. With the growth in the volume and diversity of transmitted information, there is a sharp increase in the need for high-speed broadband data transmission over wireless channels. Ensuring such transmission requires the effective use of bandwidth and the introduction of noise-resistant methods capable of compensating for losses in channels with non-stationary characteristics. Adaptive error correction algorithms that ensure reliability with limited spectral resources are becoming particularly relevant.

Objective. To study an approach to developing an intelligent Reed-Solomon codec algorithm for digital radio and television broadcast­ting systems based on a cognitive adaptation circuit.

Results. This paper examines a research methodology based on a synthesis of the theory of error-correcting cyclic coding in finite fields and the principles of automatic control. A structural-functional diagram of an intelligent error-correcting coding system based on Reed–Solomon codes, including an analytical channel state estimation loop, has been developed and theoretically justified. It has been mathematically proven that the application of the Berlekamp–Messy inverse-computational algorithm in combination with iterative reliability estimation allows for the implementation of mechanisms for the adaptive configuration of the generating polynomial. During testing of the developed solution in the MATLAB/Simulink environment, a numerical gain in energy efficiency of up to 2.0 dB was experimentally recorded at the target block error rate, as well as a 14.6% reduction in integral spectral redundancy under non-stationary radio channel conditions.

Practical significance. The developed algorithm can be implemented in existing digital broadcasting equipment (RAVIS, DRM, DVB-T2/S2X standards) without a radical change to the hardware base. The proposed solution provides an energy efficiency gain of up to 2.0 dB and a 14.6% increase in spectral efficiency through real-time adaptation to changes in the radio channel.

Magomedsayidova S.T., Mutalipova G.A., Nezhvedilov T.D., Magomedov M.A. Intelligent Reed–Solomon codec algorithm for digital radio and television broadcasting // Achievements of modern radioelectronics. 2026. V. 80. № 7. P. 46–53. DOI: https://doi.org/10.18127/j20700784-202607-05

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