NOISE STABILITY OF MOBILE TELECOMMUNICATION SYSTEMS
DOI:
https://doi.org/10.26906/SUNZ.2020.2.169Keywords:
mobile communications, noise immunity, signal base, noise stability criterion, correlationAbstract
The subject of study is the processes of ensuring electromagnetic compatibility of mobile telecommunication systems based on ultra-wideband signals with high information capacity. The goal is to develop recommendations for ensuring electromagnetic compatibility of an ultra-wideband communication system when transmitting discrete messages by a communication channel with additive Gaussian noise. The task is to ensure the stable and reliable operation of an ultra-wideband communication system. Methods used: methods of analytical modeling and theory of potential noise immunity. The following results are obtained. A criterion for ensuring the requirements of electromagnetic compatibility of mobile telecommunication systems has been developed. Based on the theory of potential noise immunity, the possibility of stable and interference-free operation of a telecommunication wireless system in conditions where the level of the information signal and noise have the same value is shown. The possibility of removing the transmitted information signal from the mixture of noise and the useful signal by correlating the received and reference signals is proved. The possibility of distinguishing two signals against the background of noise is shown; it was most likely transmitted and received through a communication channel with white Gaussian noise. Conclusions. It is shown that the use of ultra-wideband signal technology allows wireless covert transmission of information with low radiation power. Moreover, a large signal base B 2.5 allows for stable and interference-free operation of the telecommunication system in conditions when the level of the information signal is at the level (q = 1) or below the noise level. At the same time, the possibility of extracting both the useful signal and the sum of the signal and noise, and the determination with the subsequent removal of one possible signal from the mixture of two completely known signals, s0(t), s1(t) with white Gaussian noise, is provedDownloads
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