DocumentCode :
1876039
Title :
Modulation classifiers based on orthogonal transform and cyclostationarity feature detection
Author :
Richterova, Marie ; Mazalek, Antonin ; Hythova, Michaela
Author_Institution :
Univ. of Defence, Brno, Czech Republic
fYear :
2011
fDate :
7-8 Sept. 2011
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes perspective methods for the modulation recognition in HF and VHF bands. Automatic modulation recognition is rapidly evolving signal analysis area. The modern systems of signal processing can utilize cyclostationary feature detection. This paper provides the brief description of time domain key descriptor - cyclic autocorrelation function and frequency domain key descriptor - spectral correlation density function of cyclostationary signals and this paper describes the use of orthogonal transforms for the digital modulation recognition.
Keywords :
feature extraction; modulation; signal processing; transforms; VHF bands; cyclic autocorrelation function; cyclostationarity feature detection; digital modulation recognition; modulation classifiers; modulation recognition; orthogonal transform; signal processing; time domain key descriptor; Correlation; Density functional theory; Frequency shift keying; Phase shift keying; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Electronics (AE), 2011 International Conference on
Conference_Location :
Pilsen
ISSN :
1803-7232
Print_ISBN :
978-1-4577-0315-7
Electronic_ISBN :
1803-7232
Type :
conf
Filename :
6049126
Link To Document :
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