ISSN 1991-2927
 

ACP № 1 (59) 2020

Author: "Iurii Dmitrievich Ukraintsev"

Iurii Dmitrievich Ukraintsev, Ulyanovsk State University, Candidate of Engineering; graduated from the Faculty of Radiocommunications of the Leningrad Military Academy of Communications; Associate Professor of the Department of Telecommunication Technologies and Networks at Ulyanovsk State University; an author of articles, monographs inventions in the field of statistical analysis and synthesis of telecommunication systems. [e-mail: 9019471930@mail.ru]I. Ukraintsev,

Vladimir Viktorovich Kalnikov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering, Associate Professor; graduated from Radioengineering Faculty of Kiev Higher Military Engineering College of Communications; Chief Specialist at FRPC JSC ‘RPA ‘Mars’; specializes in the field of special-purpose control system design, creation of communication and data exchange systems; an author of articles and inventions in the field of designing the distributed control systems of special-purpose, communication and data exchange systems. [e-mail: mars@mv.ru]V. Kalnikov

An Alternate Bayesian Approach to the Detection of an Adaptive Decision Threshold Scheme for the Receiver At Decameter Radio Links 52_9.pdf

The article deals with an approach to the determination of the decision threshold scheme of a receiving device in decameter radio link, which implements the alternative Bayesian method. In contrast to the classical approach when the decision threshold scheme is determined with the assumption that the probability density function (PDF) of the received signal is subject to the Gaussian low, an approach based on the current recovery of instantaneous values of the received signal envelope in each distribution path is proposed. The PDF recovery algorithm is based on the nonparametric Parzen-Rosenblatt density estimation method. The estimating is carried out during a specified communication session. In this case, the most probable values of the signal (mode) are determined if the noise interference is absent and present, the decision threshold scheme is established in accordance with the real situation on the communication line. Then, on the basis of the mode shift, a decision is made about the signal-error probability. On the basis of simulation modeling, the efficiency of the approach is shown when operating at decameter radio links working under nonparametric prior uncertainty relative to signals and interference.

Signal depression, instantaneous values of the received signal envelope, parzen method of the probability density estimation, mode, decision threshold scheme of a receiving device, error probability.

2018_ 2

Sections: Mathematical modeling

Subjects: Mathematical modeling.


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