Fast Modulation Classifier for Software Radio 


Vol. 32,  No. 4, pp. 425-432, Apr.  2007


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  Abstract

In this paper, we deals with automatic modulation classification capable of classifying incident signals without a priori information. The 7 key features which have good properties of sensitive with modulation types and insensitive with SNR variation are selected. The numerical simulations for classifying 9 modulation types using the these features are performed. The numerical simulations of the 4 types of modulation classifiers are performed the investigation of classification accuracy and execution time to implement the fast modulation classifier in software radio. The simulation result indicated that the execution time of DTC was best and SVC and MDC showed good classification performance. The prototype was implemented with DTC type. With the result of field trials, we confirmed the performance in the prototype was agreed with the numerical simulation result of DTC.

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  Cite this article

[IEEE Style]

C. Park, W. Jang, D. Y. Kim, "Fast Modulation Classifier for Software Radio," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 4, pp. 425-432, 2007. DOI: .

[ACM Style]

Cheol-Sun Park, Won Jang, and Dae Young Kim. 2007. Fast Modulation Classifier for Software Radio. The Journal of Korean Institute of Communications and Information Sciences, 32, 4, (2007), 425-432. DOI: .

[KICS Style]

Cheol-Sun Park, Won Jang, Dae Young Kim, "Fast Modulation Classifier for Software Radio," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 4, pp. 425-432, 4. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880