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Serbian Journal of Electrical Engineering
2018, vol. 15, br. 3, str. 353-364
Adaptive algorithm for wireless data transmission (including images) based on SISO system and OFDM technique
(naslov ne postoji na srpskom)
Fedosov Valentin, Legin Andrey, Lomakina Anna
Southern Federal University, Southern Federal University, Rostov-on-Don, Russia

e-adresa: vpfed@mail.ru
Projekat:
Project of the Ministry of Education and Science of the Russian Federation: Approbation of efficient imaging systems based on the formation and processing of spatial-temporal signals in the hydroacoustic channel.

Ključne reči: antenna array (AA); SISO; multipath; adaptive algorithm; coding; OFDM
Sažetak
(ne postoji na srpskom)
The efficiency of wireless systems to transmit information in a complex interference situation is one of the main indicators of the effectiveness of the system, which can be characterized by the probability of an error in the transmitted message. This characteristic depends on the interference situation of the communication channel and the nature of the signals propagation in the medium. If the medium has a multi-path character, the signal interferes with the receiving antenna, causing signal fading. So the developer of wireless communication devices is faced with the task of increasing the noise immunity of the system. It can be increased in various ways, for example, by using adaptive processing algorithms for spatio-temporal signals. In this paper we solve the problem of improving noise immunity in wireless communication systems by applying an algorithm of adaptive spatial-temporal signal processing in the receiver based on an adaptive antenna array, which allows spatial filtering under conditions of a complex pattern of signal propagation in a channel with reflections. Calculation of weights for the adaptation algorithm in the article is based on the theory of eigenvalues and vectors of the spatial correlation matrix.
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O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.2298/SJEE1803353F
objavljen u SCIndeksu: 28.02.2019.
Creative Commons License 4.0

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