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Języki publikacji
Abstrakty
This paper presents a new digital modulation recognition algorithm for classifying baseband signals in the presence of additive white Gaussian noise. Elaborated classification technique uses various statistical moments of the signal amplitude, phase and frequency applied to the fuzzy classifier. Classification results are given and it is found that the technique performs well at low SNR. The benefits of this technique are that it is simple to implement, has generalization property and requires no apriori knowledge of the SNR, carrier phase or baud rate of the signal for classification.
Słowa kluczowe
Rocznik
Tom
Strony
31--34
Opis fizyczny
Bibliogr. 6 poz., tab., rys.
Twórcy
autor
autor
- Communication Systems Institute, Military University of Technology, jlopatka@wel.wat.waw.pl
Bibliografia
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS2-0013-0071