350 rub
Journal Science Intensive Technologies №3 for 2015 г.
Article in number:
Improve of accuracy and noise immunity of space communication systems
Authors:
V.G. Patyukov - Dr. Sc. (Eng.), Professor, Siberian Federal University. E-mail: pvg@fromru.com A.V. Lepunov - Post-graduate Student, Siberian Federal University; Engineer, JSC «Academician M.F. Reshetnev «Information Satellite Systems» (Zheleznogorsk). E-mail: tyomich_rtf@mail.ru A.A. Silantyev - Post-graduate Student, Siberian Federal University; Engineer, JSC «Academician M.F. Reshetnev «Information Satellite Systems» (Zheleznogorsk). E-mail: artyom183@mail.ru V.A. Shatrov - Post-graduate Student, Siberian Federal University; Design Engineer, JSC «Academician M.F. Reshetnev «Information Satellite Systems» (Zheleznogorsk). E-mail: vitalys@iss-reshetnev.ru
Abstract:
The Article «Improvement of accuracy and noise immunity of space communication systems» contains 6 pages of the text document, 2 figures, 2 sources used. The Keywords are: additive mixture of signal and noise, the conditional distribution density of the envelope and phase, conventional numerical characteristics. The object of study: a method of improvement of accuracy and noise immunity in space communication systems. Objective: to improve the accuracy and noise immunity of communication systems based on the use of conditional probability charac-teristics and relationships of the envelope and phase additive mixture of signals used for the exchange of information. As a result of the work were investigated: general characteristics of the models of random processes and statistical characteristics of the random phase (including the study of the density distribution of the envelope and phase), as well as the conditional probability characteristics. The possibility of improving noise immunity and reliability of communication systems based on probabilistic characteristics of the signals received and variance estimates were established as a result of the study. The graphic built on the basis of the ratio of conditional and unconditional variance shows that the introduction of samples reduces the amplitude, phase fluctuations that ultimately allows to improve the noise immunity of communication systems for more than 3 times.
Pages: 56-60
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