Title :
Modulation detection in the time-frequency domain for cognitive radio systems
Author :
Tanc, Yesim Hekim ; Akan, Aydin
Author_Institution :
Dept. of Electr. & Electron. Eng., Istanbul Univ., Istanbul, Turkey
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
Modulation detection, which is one of the major tasks of an intelligent receiver in a cognitive radio communication systems, is an intermediate step between signal detection and demodulation. In this paper, we present a time-frequency based method for the detection of modulation type in the presence of noise. The Discrete Evolutionary Transform is used to distinguish PSK and FSK signals. The performance of the proposed method is compared with one of the Wavelet Transform based methods in the literature. Simulation results confirmed the virtue of the proposed method.
Keywords :
cognitive radio; demodulation; frequency shift keying; modulation; phase shift keying; signal detection; time-frequency analysis; transforms; FSK signals; PSK signal; cognitive radio communication systems; demodulation; discrete evolutionary transform; intelligent receiver; modulation detection; signal detection; time-frequency domain; wavelet transform based methods; Frequency shift keying; Phase shift keying; Time-frequency analysis; Wavelet transforms;
Conference_Titel :
Signal Processing Conference, 2011 19th European
Conference_Location :
Barcelona