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Statistical characteristics of a random sequence of optimal FTN-signals

DOI 10.18127/j00338486-201812-10

Keywords:

I.I. Lavrenyuk – Engineer, Institute of Physics, Nanotechnology and Telecommunications of Peter The Great St. Petersburg Polytechnic University
E-mail: knaiser@mail.ru
A.S. Ovsyannikova – Engineer, Institute of Physics, Nanotechnology and Telecommunications of Peter The Great St. Petersburg Polytechnic University
E-mail: anny-ov97@mail.ru
M.A. Sivers – Dr.Sc.(Eng.), Professor, Bonch-Bruevich Saint-Petersburg State University of Telecommunications
E-mail: nadir@fppk.ru
A.V. Blinov – Dr.Sc.(Eng.), Professor, Institute of Physics, Nanotechnology and Telecommunications of Peter The Great St. Petersburg Polytechnic University
E-mail: blinov.av@gmail.com


This article is devoted to the investigation of the problem of estimation and reduction of the PAPR level of FTN-signal sequences. The application of optimal FTN-signals allows to significantly increase the information transmission rate and spectral efficiency without significant losses in energy efficiency. It was shown that by using optimal signals it is possible to exceed the Nyquist barrier by more than 2 times. However, an increase in the information transmission rate results in a deep intersymbol interference, and as a conse-quence, the unevenness of the envelope amplitude increases. The problem of correct estimation and avoidance of possible energy losses resulting from underutilization by power of amplifier stages in a radio transmitter is relevant for wireless systems with FTN-signals. It is necessary to have an idea of the level of the signal peak factor for various system parameters (information transfer rate, single pulse shape, pulse duration, signal constellation dimension), and also to analyze the effectiveness of PAPR level reduction methods to solve this problem. The article presents estimation of the peak factor for different values of symbolic rates of random optimal FTN-signal sequences. The estimation is made on the basis of the analysis of statistical characteristics and amplitude distributions; hence it is possible to choose the most effective method of decreasing high PAPR level. It should be noted that the reduction in the level of the PAPR is proposed to be carried out by applying the amplitude limitation of the signal.

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May 29, 2020

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