Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions

This paper deals with the radio source type detection algorithm with a complicated time-frequency structure. The algo-rithm is based on splitting training data classes into sub-classes, and using them for making a decision about the type of radio source. Result of testing on simulated data is presented.

Авторы: V.F.Korotkov, R.S.Zyryanov

Направление: Радиотехнические средства передачи, приема и обработки сигналов

Ключевые слова: Neural Network, Radially Symmetric Basis Function, Radio Source Recognition


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