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https://doi.org/10.2498/cit.1000874

A New Signal Type Classifier for Fading Environments

Ataollah Ebrahimzadeh
Gholam Reza Ardeshir

Puni tekst: engleski, pdf (489 KB) str. 257-266 preuzimanja: 456* citiraj
APA 6th Edition
Ebrahimzadeh, A. i Ardeshir, G.R. (2007). A New Signal Type Classifier for Fading Environments. Journal of computing and information technology, 15 (3), 257-266. https://doi.org/10.2498/cit.1000874
MLA 8th Edition
Ebrahimzadeh, Ataollah i Gholam Reza Ardeshir. "A New Signal Type Classifier for Fading Environments." Journal of computing and information technology, vol. 15, br. 3, 2007, str. 257-266. https://doi.org/10.2498/cit.1000874. Citirano 25.02.2020.
Chicago 17th Edition
Ebrahimzadeh, Ataollah i Gholam Reza Ardeshir. "A New Signal Type Classifier for Fading Environments." Journal of computing and information technology 15, br. 3 (2007): 257-266. https://doi.org/10.2498/cit.1000874
Harvard
Ebrahimzadeh, A., i Ardeshir, G.R. (2007). 'A New Signal Type Classifier for Fading Environments', Journal of computing and information technology, 15(3), str. 257-266. https://doi.org/10.2498/cit.1000874
Vancouver
Ebrahimzadeh A, Ardeshir GR. A New Signal Type Classifier for Fading Environments. Journal of computing and information technology [Internet]. 2007 [pristupljeno 25.02.2020.];15(3):257-266. https://doi.org/10.2498/cit.1000874
IEEE
A. Ebrahimzadeh i G.R. Ardeshir, "A New Signal Type Classifier for Fading Environments", Journal of computing and information technology, vol.15, br. 3, str. 257-266, 2007. [Online]. https://doi.org/10.2498/cit.1000874

Sažetak
Automatic classification of digital signal types is extremely important in communication intelligence. In this paper we present a highly efficient digital signal type classifier for fading environments. In the proposed method, an equalizer is used to reduce the channel effects. Selected combination of the fourth, the sixth and the eighth order of moments and cumulants of the received signal are introduced as the features for representation of digital signal. A novel multiclass classifier based on support vector machines determines types of the received signals. Simulation results show that the proposed method has a high success rate for recognition of different digital signal types even at low signal to noise ratio (SNR).

Hrčak ID: 44621

URI
https://hrcak.srce.hr/44621

Posjeta: 586 *