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Automatic Recognition of Analog and Digital Modulation Signals  

Seo Seunghan (충남대학교 정보통신공학과 멀티 이동통신 연구실)
Yoon Yeojong (충남대학교 정보통신공학과 이동통신 연구실)
Jin Younghwan (충남대학교 정보통신공학과 멀티 이동통신 연구실)
Seo Yongju (충남대학교 정보통신공학과 멀티 이동통신 연구실)
Lim Sunmin (충남대학교 정보통신공학과 이동통신 연구실)
Ahn Jaemin (충남대학교 정보통신공학과 멀티 이동통신 연구실)
Eun Chang-Soo (충남대학교 정보통신공학과 이동통신 연구실)
Jang Won (국방과학 연구소)
Nah Sunphil (국방과학 연구소)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.1C, 2005 , pp. 73-81 More about this Journal
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 algorithm 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, FM, 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 algorithm with less complexity.
Keywords
Automatic Modulation Recognition; decimation; key feature; segmentation; decision-flowchart;
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