Публікація: Визначення незайнятих частотних каналів у когнітивних радіомережах методами виявлення та розпізнавання сигналів в умовах апріорної невизначеності
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2019
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Анотація
The dissertation work is devoted to the solution of an actual scientific
problem of search of unoccupied frequency channels in cognitive radio networks.
The analysis of existing methods for identifying the primary users of the
frequency resource was performed. It was considered the detection of primary
transmitters using the following method: the energy method, the method of
matched filtering, correlation and cyclostationary methods. Two groups of
algorithms were also considered: parametric and nonparametric.
Certain drawbacks of their use for the search of unoccupied frequency
channels in cognitive radio networks were revealed. This is mainly due to the fact
that most of them need a certain amount of a priori information regarding the
signals that need to be detected. In practice, given the wide range of frequencies in
which the IEEE 802.22 (54-862 MHz) cognitive radio standard operates, it is not
possible to have the required amount of data. In turn, this creates a significant a
priori uncertainty in solving the problem of radio monitoring in cognitive radio
networks and creates certain restrictions on the use of known signal detection
algorithms.
In order to solve the problem of detection of unoccupied frequency channels
in cognitive radio networks the using of detecting algorithms of changes in the
statistical properties of signals is proposed. These algorithms make it possible to
detect unknown signals in order to find unoccupied frequency channels under a
priori uncertainty.
The performance characteristics are investigated and the comparative
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analysis of the developed algorithms is carried out by simulation on a computer
using real signals operating in the frequency range defined for the standard.
Broadband and narrowband signals were used for this purpose. The analysis of the
efficiency of these algorithms was performed.
The choice of optimal algorithms for detection of signals in the aggregate
indicators of the quality of methods of multicriteria optimization was performed
The optimal scanning time during radio monitoring in cognitive radio
networks was found. Recommendations on the use of algorithms for detection and
recognition of signals during spectrum scanning are developed.
Keywords: mobile communication network, signal detection algorithms,
cognitive resource allocation, resource clustering, space-time access.
Опис
Ключові слова
mobile communication network, signal detection algorithms, cognitive resource allocation, resource clustering, space-time access
Бібліографічний опис
Іваненко С. А. Визначення незайнятих частотних каналів у когнітивних радіомережах методами виявлення та розпізнавання сигналів в умовах апріорної невизначеності : автореф. дис. ... канд. техн. наук : 05.12.17 "Радіотехнічні та телевізійні системи" / С. А. Іваненко ; М-во освіти і науки України, Харків. нац. ун-т радіоелектроніки. – Харків, 2019. – 22 с.