Fuzzy decision tree and multilayer neural network for digital modulation recognition
- 1 Post-graduate Student, Department IIST FREC, Moscow Institute of Physics and Technology (State University)
Keywords:
modulationmodulation recognitioncumulantsGaussian noisefuzzy decision treemultilayer neural network
Abstract
The article solves the problem of digital modulation recognition of radio signals based on the using fuzzy decision tree and multilayer neural network. Recognition performed with the basic types of digital modulation 2-PSK, 4-PSK, 8-PSK, 2-FSK, 8-QAM, 16-QAM, 64-QAM. Features for the entrance in the neural network are cumulants. Performance testing methods carried out on one and the same database. The best result shown by using the multilayer neural network.
How to cite
Дам В.Н. Дерево логических решений и многослойная нейронная сеть в задаче распознавания видов цифровой модуляции // Нейрокомпьютеры: разработка, применение. 2016. № 7. С. 70–73.
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