Automatic Recognition of Analog and Digital Modulation Signals 


Vol. 30,  No. 1, pp. 73-81, Jan.  2005


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  Abstract

We propose an automatic modulation recognition scheme which extracts pre-defined key features from the received signal and then applies equal gain combining method to determine the used modulation Moreover, we compare and analyze the performance of the proposed algonthm with that of decision-theoretic algorithm. Our scheme extracts five pre-defined key features from each data segment, a data unit for the key feature extraction, which are then averaged over all the segments to recognize the modulation according to the decision procedure We check the performance of the proposed algorithm through computer simulations for analog modulations such as AM, PM, SSB and for digital modulations such as FSK2, FSK4, PSK2, and PSK4, by measuring recognition success rate varying SNR and data collection time The result shows that the performance of the proposed scheme is comparable to that of the decision-theoretic algonthm with less complexity.

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  Cite this article

[IEEE Style]

S. Seo, Y. Yoon, Y. Jin, Y. Seo, S. Lim, J. Ahn, C. Eun, W. Jang, S. Nah, "Automatic Recognition of Analog and Digital Modulation Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 1, pp. 73-81, 2005. DOI: .

[ACM Style]

Seunghan Seo, Yeojong Yoon, Younghwan Jin, Youngju Seo, Sunmin Lim, Jaemin Ahn, Chang-Soo Eun, Won Jang, and Sunphil Nah. 2005. Automatic Recognition of Analog and Digital Modulation Signals. The Journal of Korean Institute of Communications and Information Sciences, 30, 1, (2005), 73-81. DOI: .

[KICS Style]

Seunghan Seo, Yeojong Yoon, Younghwan Jin, Youngju Seo, Sunmin Lim, Jaemin Ahn, Chang-Soo Eun, Won Jang, Sunphil Nah, "Automatic Recognition of Analog and Digital Modulation Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 1, pp. 73-81, 1. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880