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A Method for Calculating of the Efficiency of Communication Systems with Multiple Modulation Types and Multi-Stage Composite Coding

https://doi.org/10.35596/1729-7648-2023-21-6-45-52

Abstract

Analytical relations and a methodology for calculating the performance indicators of communication and multimedia broadcasting systems using multi-position modulation types (QAM-M, FM-M, FM-M, CHMS-M, AM-M, OFM-M) and multi-stage coding based on non-systematic convolutional codes and non-binary block Reed-Solomon codes are proposed. The relations obtained are common for studies of noise immunity, corrective capacity, energy and information efficiency of systems, depending on the requirements for reception reliability, modulation format, type of codes used and their parameters. The calculation of the characteristics of systems with cascade composite coding is carried out in a closed form and does not require the use of complex computer simulation procedures.

About the Authors

E. B. Lipkovich
Belarusian State University of Informatics and Radioelectronics
Belarus

Eduard B. Lipkovich, Associate Professor at the Department of Infocommunication Technologies

Minsk



V. V. Rabtsevich
Belarusian State University of Informatics and Radioelectronics
Belarus

Rabtsevich Violetta Viktorovna, Senior Lecturer at the Department of Infocommunication Technologies

220013, Minsk, P. Brovki St., 6

Tel.: +375 17 293-88-19



References

1. Forni D. (1970) Kaskadnyye Kody. Moscow, Mir Publ. (in Russian).

2. Zolotarev V. V., Ovechkin G. V. (2004) Noise-Correcting Coding. Methods and Algorithms. Moscow, Hotline – Telecom Publ. (in Russian).

3. Lipkovich E. B., Serchenya A. A. (2020) Analytic Model for Calculating the Noise Immunity of Communication Systems with Multi-Position Modulation Types and Convolutional Coding. Electrosvyaz. (10), 62–66 (in Russian).


Review

For citations:


Lipkovich E.B., Rabtsevich V.V. A Method for Calculating of the Efficiency of Communication Systems with Multiple Modulation Types and Multi-Stage Composite Coding. Doklady BGUIR. 2023;21(6):45-52. (In Russ.) https://doi.org/10.35596/1729-7648-2023-21-6-45-52

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)