Ivanenko S. Determination of unoccupied frequency channels in cognitive radio networks by methods of signal detection and recognition under a priori uncertainty

Object – determination of unoccupied frequency channels during radio monitoring in cognitive radio networks. Aim – determination of unoccupied frequency channels in cognitive radio networks by methods of detection and recognition of signals under a priori uncertainty. Subject – methods of detection of unknown and recognition of the given signals on the basis of change of probabilistic properties of signals which allow to solve a problem of detection of unoccupied frequency channels in cognitive radio networks Methods – probability theory and mathematical statistics, statistical radio engineering, detection theory, spectral analysis, simulation methods. Results – New methods of detection of unoccupied frequency channels in cognitive radio networks are proposed; methods of detection of unknown signals were further developed; the performance characteristics of spectral methods for detecting unknown signals using real signals and noises in the frequency range are studied for the first time; for the first time the problem of recognition of given signals in the presence of unknown signals during radio monitoring in cognitive radio networks is solved; for the first time, an algorithm for determining unoccupied frequency channels for their provision to secondary users of cognitive radio networks using non-classical methods of signal detection and recognition under a priori uncertainty is proposed. Implementation – the results of dissertation research are implemented in the educational process of the Department of information and network engineering of Kharkiv national University of radio electronics, in particular, in the discipline "Fundamentals of information and communication technologies" and in the report of research № 320 "Development of new information technology of complex recognition of radio emitting objects by methods of statistical radio engineering and artificial intelligence" (№ GR 0117U002528), which is confirmed by the relevant acts of implementation. Application – development of cognitive radio networks and radio monitoring systems.