V.P. Fedosov1, Al-Musawi Wisam Mohammedtaqi M. Jawad2, S.V. Kucheryavenko3

1-3 Institute for Radiotechnical Systems and Control, Southern Federal University (SFEDU) (Rostov-on-Don, Russia)

1 vpfed@mail.ru; 2 almusavi@sfedu.ru; 3 svkucheryavenko@sfedu.ru

The negative impact of an overloaded and noisy wireless channel on the quality of the transmitted signal can be reduced by using signal coding methods capable of detecting and correcting errors. Space-time coding using an adaptive antenna array allows efficient use of the channel bandwidth under strict frequency resource and information signal power limitations in wireless channels with multi-reflections. In the article, the immunity of wireless communication systems to interference is increased by introducing Reed-Solomon codes and adaptive methods of space-time signal processing in the receiver and transmitter, which are implemented using an adaptive antenna array. This allows implementing spatial filtering in channels with multi-reflections in the presence of a complex signal propagation pattern in urban conditions. Vector algebra and eigenvalues ​​of the spatial correlation matrix are used to calculate the parameters of the adaptation algorithm. To evaluate the efficiency of the joint use of the adaptation algorithm and signal coding methods, a 3D model of the wireless communication system channel is used, which allows evaluating the efficiency of the proposed method in real operating conditions. To solve the problem of increasing noise immunity in communication systems under conditions of fading in the information signal caused by reflections in densely built-up urban areas by combining Reed-Solomon coding and an adaptive spatial-temporal signal processing algorithm both in the receiver and in the transmitter. The novelty of this study is in studying the effect on the quality of information signal transmission with an increase in the number of segments in receiving and transmitting antenna arrays and an increase in the number of signal paths during reflections. The algorithms and 3D model of the communication channel were simulated in Matlab using the Reed-Solomon code, as a result, an increase in the error correction efficiency for the Reed-Solomon code was demonstrated, as well as a significant decrease in the probability of code error and an increase in the performance of the communication system when using an adaptive algorithm. The article uses the term "Multipath" channel in contrast to the generally accepted but incorrect "Multibeam" channel, since the antenna system's directional characteristic can be multibeam. The presented results confirm that when processing signals in the receiving system under conditions of a multipath channel in dense urban development, the use of adaptive spatiotemporal algorithms ensures increased noise immunity and radio communication throughput, especially for image transmission when using unmanned aerial vehicles.

Fedosov V.P., Al-Musawi Wisam Mohammedtaqi M. Jawad, Kucheryavenko S.V. Optimization of adaptive spatial-temporal algorithm in mobile and base stations in MIMO system with Reed-Solomon code. Radiotekhnika. 2025. V. 89. № 6. P. 60−67. DOI: https://doi.org/10.18127/j00338486-202506-06 (In Russian)

1. Fedosov V.P., Legin A.A., Lomakina A.V. Adaptive algorithm for data transmission in wireless channels based on MIMO - OFDM technique. Radiation and scattering of electromagnetic waves (RSEMW–2017). 2017. P. 218–221.
2. Fedosov V., Legin A., Lomakina A. Adaptive algorithm based on antenna arrays for radio communication systems. Serbian Journal of Electrical Engineering. 2017. V. 14. № 3. P. 301–312.
3. Fedosov V.P., Emel'janenko A.V. Sravnitel'naja jeffektivnost' besprovodnogo dostupa na osnove prostranstvennoj adaptacii na vyhodah antennoj reshetki pri ispol'zovanii MIMO-OFDM v releevskom kanale. Antenny. 2013. № 10(197). S. 45–49 (in Russian).
4. Fedosov V.P., Muravickij N.S. Adaptivnaja priemnaja antennaja reshetka dlja obrabotki prostranstvenno-vremennyh signalov v MIMO-sisteme besprovodnoj peredachi dannyh. Antenny. 2011. № 8(171). S. 35–43 (in Russian).
5. Fedosov V.P., Kucherjavenko S.V., Muravickij N.S. Povyshenie jeffektivnosti radiosvjazi v releevskom kanale na osnove antennyh reshetok. Antenny. 2008. № 11(138). S. 98–104 (in Russian).
6. Fedosov V.P., Lomakina A.V., Legin A.A., Voronin V.V. Three-dimensional model of hydro acoustic channel for research MIMO systems. Proceedings of SPIE. The International Society for Optical Engineering. "Ocean Sensing and Monitoring IX" 2017. P. 101860W.
7. Fedosov V.P., Dzhamil Dzhalil Sadun Dzhamil, Kucherjavenko S.V. Sravnenie proizvoditel'nostej adaptivnogo algoritma i metoda minimuma srednekvadraticheskogo otklonenija dlja peredachi izobrazhenij na osnove sistem svjazi s ispol'zovaniem antennyh reshetok. Radiotehnika. 2023. T. 87. № 2. S. 69−78. DOI: https://doi.org/10.18127/j00338486-202302-15 (in Russian).
8. Fedosov V., Jameel J., Kucheryavenko S. Transmitting Image in 3D Wireless Channel using Adaptive Algorithm Processing with MMSE based on MIMO principles. Book Transmitting Image in 3D Wireless Channel using Adaptive Algorithm Processing with MMSE based on MIMO principles. IOP Publishing. 2021. P. 012131.
9. Fedosov V.P., Jaleel Sadoon Jameel, Kucheryavenko S.V. Theoretical Analysis of Adaptive Algorithm Modulation Scheme in 3D OFDM WiMAX System. Trends in Sciences. № 19.12. 2022. P. 4605−4605.
10. Fedosov V.P., Jameel J.S., Kucheryavenko S.V. Analysis of an Adaptive Algorithm for Processing Space-Time Signals for Image Transmission Based on 3D Wireless Channel Model. Book Analysis of an Adaptive Algorithm for Processing Space-Time Signals for Image Transmission Based on 3D Wireless Channel Model. IEEE. 2021. P. 443−446.
11. Fedosov V., Legin A., Lomakina A. Adaptive algorithm for data transmission in wireless channels based on MIMO—OFDM technique. Book Adaptive algorithm for data transmission in wireless channels based on MIMO—OFDM technique. IEEE. 2017. P. 218−221.
12. Fedosov V., Legin A., Lomakina A. Adaptive algorithm for wireless data transmission (including images) based on SISO system and OFDM technique. SJEE. 2018. № 15, (3). P. 353−364.
13. Fedosov V.P., Dzhamil D.S., Kucherjavenko S.V. Peredacha dannyh v kanale 3D WIMAX na osnove SISO-OFDM i MIMO-OFDM. Izvestija Juzhnogo federal'nogo universiteta. Tehnicheskie nauki. 2020. № 6(216). S. 6−18 (in Russian).
14. Fedosov V., Lomakina A., Legin A., Voronin V. Three-dimensional model of hydro acoustic channel for research MIMO systems. Book Three-dimensional model of hydro acoustic channel for research MIMO systems. International Society for Optics and Photonics. 2017. P. 101860.
15. Fedosov V.P., Al-Musawi Wisam Mohammedtaqi M. Jawad, Kucheryavenko S.V. Spatio-temporal adaptive algorithm using Hamming code based on 3D-MIMO wireless channel model. Radiotekhnika. 2024. V. 88. № 2. P. 113−123. DOI: https://doi.org/10.18127/j00338486-202402-00 (In Russian)