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Research and Analysis Mathematical Model for Evaluating Noise Immunity in Telecommunication System

Year: 2020
Type: article
Abstract: The methods increasing the noise immunity of the paths systems for transmitting and receiving discrete packet mes sages in a telecommunication system that operates under the influence unintended interference sources are analyzed.In order to improve the potential noise immunity of the incoherent method receiving discrete messages, effective modulation schemes and noise resistant coding are investi gated.The aim of the article is to study methods for increasing the reliability transmission and to develop a mathematical model (MM) for evaluating noise immunity in a telecom munication system under the influence various sources of interference.As a result of the study, a new approach to constructing a mathematical model for evaluating the noise immunity characteristics in telecommunication system is proposed.The proposed mathematical model takes into account indi cators communication quality, spectral efficiency, effective modulation and coding methods when providing multime dia services to users.Based on the proposed mathematical model, complex noise immunity indicators have been studied as the proba bility bit errors for a given signal to noise ratio and bit rate, as well as energy efficiency indicators message transmission and reception systems for incoherent reception.Important expressions have been obtained for calculating the basic characteristics of reliability when receiving messages using a modulation and coding scheme.An analysis is made of the advantage using an M PSK (M ary Phase Shift Keying) type modulation scheme and a Reed Solomon code based on the energy gain coding, KEYWORDS: matched filter, Reed Solomon code, incoherent reception, demodulator, bit error probability, unintentional interference, code speed, signal to noise ratio, channel trans fer coefficient, code energy gain.
Language: English
Open Access status: diamond
OpenAlex ID: W3048866974
FWCI: 0.947
Cites: 6
Cited by: 21
Related to: 10