radio monitoring, frequency resource, algorithms for selection and recognition of specified radio signals, unknown radio signals.


Background. Currently, the wireless radio technologies are an intensively developing branch of the telecommunications industry, due to their high popularity as a result of their convenience for civilian and specialized applications. Currently, the frequency resources are already quite overloaded, which leads to electromagnetic compatibility problems. This problem can be
solved by efficient use of the frequency resource; for this purpose, monitoring of the radio frequency resource use by means of automated radio monitoring is carried out. Now a lot of radio-electronic means are operating at the moment and their number is rapidly increasing every day, which can lead to the fact that not only radio signals can be received, but also unknown signals,
which in turn can lead to recognition errors. The paper studies the algorithms of selection and recognition of given radio signals, which take into account the class of unknown signals.
Objective. The aim of the paper is to research the quality indicators of the selection and recognition algorithms for given radio signals in the presence of unknown signals during radio monitoring in the SW band.
Methods. Investigation of algorithms for selection and recognition of specified radio signals in the presence of unknown signals by the simulation method on real signal samples.
Results. The values of quality indicators of selection and recognition of specified radio signals in the presence of unknown signals that are acceptable for the practice of radio monitoring are obtained. The proposed recognition algorithms should improve the quality of radio monitoring results, and thereby improve the
results of radio monitoring.
Conclusions. The proposed algorithms for the selection and recognition of specified radio signals in the presence of
unknown signals will improve the quality of radio monitoring in the SW band.


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