V.P. Fedosov1, R.R. Ibadov2, S.R. Ibadov3

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

Space-time coding is an effective method for constructing communication systems while saving bandwidth, taking into account the shortage of frequency resources and power in fading channels, which is implemented based on the advantages of using adaptive antenna arrays. Currently, WiMAX radio access technology has become widespread; its use is justified in conditions of direct visibility between the base and mobile stations, but in a city with dense buildings and in the presence of organized interference, its use leads to an increase in the likelihood of bit errors. At the same time, the combination of OFDM (orthogonal frequency division multiplexing) and MIMO (spatial coding) technologies based on adaptive antenna arrays significantly reduces the probability of bit errors, and therefore increases the throughput of the communication system. The use of adaptive space-time devices at the outputs of antenna arrays makes it possible to select a signal path with maximum power and with a minimum error in receiving OFDM pilot subcarriers, even in the absence of direct visibility between the base and mobile stations and in conditions of active interference. In addition, the use of a 3D model of the communication channel will allow us to evaluate the effectiveness of the communication system model in real operating conditions. The goal of the work is to solve the problem of additionally increasing noise immunity in communication systems in conditions of numerous reflections caused by dense buildings in urban environments, using a combination of Hamming code, OFDM and an algorithm for adaptive spatio-temporal signal processing in receivers such as SISO (Singl Input – Singl Output), and MIMO (Multiply Input – Multiply Output), built on adaptive antenna arrays. The work calculated the weight coefficients of the adaptation algorithm using the theory of eigenvalues and eigenvectors of the spatial correlation matrix of signals at the outputs of the adaptive antenna arrays. Modeling of algorithms and a 3D model of the communication channel in Matlab using the Hamming code was carried out, as a result, an increase in the efficiency of error correction for the Hamming code was demonstrated, as well as a significant reduction in the probability of code errors and an increase in the performance of the communication system when using an adaptive algorithm. At the same time, the article uses the term “multipath” channel in contrast to the generally accepted, but incorrect “multibeam” channel, since multibeam can be a characteristic of an antenna system. The presented results confirm that when processing signals in a receiving system in a multipath channel with dense urban development, the use of adaptive spatiotemporal algorithms provides increased noise immunity and radio communication capacity, especially for image transmission when using unmanned aerial vehicles.

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. 169−176. DOI: https://doi.org/10.18127/j00338486-202407-27 (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.