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http://dx.doi.org/10.5909/JBE.2017.22.2.257

An Efficient Classification of Digitally Modulated Signals Using Bandwidth Estimation  

Choi, Jong-Won (Department of Electronics Engineering, Chungbuk National University)
Ahn, Woo-Hyun (Department of Electronics Engineering, Chungbuk National University)
Seo, Bo-Seok (Department of Electronics Engineering, Chungbuk National University)
Publication Information
Journal of Broadcast Engineering / v.22, no.2, 2017 , pp. 257-260 More about this Journal
Abstract
In this letter, we propose an efficient automatic modulation recognition (AMR) method which classifies digitally modulated signals by estimating the bandwidth. In AMR, feature-based methods are widely used and the accuracy of the features is highly dependent on the number of symbols and the number of samples per symbol (NSPS). In this letter, at first, we coarsely estimate the bandwidth of the oversampled signals, and then decrease the sample rate to yield adequate NSPS. As a result, more symbols are used for AMR and the correct classification rate becomes high under the same number of samples.
Keywords
bandwidth estimation; digitally modulated signal classification; modulation recognition;
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Times Cited By KSCI : 2  (Citation Analysis)
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