ADAPTIVE ALGORITHM FOR PROCESSING SPATIAL-TEMPORAL SIGNALS FOR DATA TRANSMISSION IN 3D WIMAX CHANNEL BASED ON SIMO-OFDM PRINCIPLES
Abstract
The development of the telecommunications industry is focused on the use of wireless broadband communication systems that allow increasing the speed of information transfer. New technologies with high transmission capabilities have been developed to solve this problem. Limitation of the signal spectrum and signal fading in Fresnel zones due to multipath components in a wireless system deployed in densely built-up urban areas are significant problems in the design of wireless communication systems, as well as the occurrence of the Doppler effect due to the movement of the mobile station and signal attenuation during propagation in the channel in different frequency ranges. To increase the speed and throughput, it is possible to use the procedure of transmitting and receiving signals to form channels with one input and several outputs SIMO (Single Input Multiple Output), providing spatial filtering when choosing the path with the maximum signal power. The article presents the analysis and modeling of data transmission based on the SIMO system of the 3D WiMAX wireless channel. The results of comparison of signal processing by this method with and without the adaptive algorithm, obtained by the criterion of maximum signal-to-noise ratio (SNR) are presented by the dependences of the probability of occurrence of a bit error (BER) on the signal-to-noise ratio (SNR). As a result of modeling, it was concluded that for the same system, the probability of error is sensitive to a change in the modulation type, in other words, BER changes in accordance with a change in the type of signal modulation. It can also be concluded that SIMO systems are sensitive to multipath signal propagation for the same modulation type, and BER increases with an increase in the number of receivers since the signal-to-noise ratio SNR decreases.
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