Title :
A digital modulation signals recognition method under the lower SNR
Author :
Li, Xueyao ; Han, Bing ; Fan, Dongmei ; Zhang, Rubo ; Liu, Guanqun
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
Abstract :
A new method for digital modulation recognition in shortwave communications based on wavelet packet and cumulants is presented. It uses wavelet packet transform and cumulants as feature extraction method and hierarchical classifiers based on support vector machines as the classifier. This hierarchical method has higher recognize rate compared with other methods. Classification results for 10 modulation types including FSK, PSK etc. show that the method has encouraging recognition performance in low SNR.
Keywords :
feature extraction; modulation; signal processing; support vector machines; wavelet transforms; digital modulation signal recognition method; feature extraction method; lower SNR; shortwave communications; support vector machines; wavelet packet transform; Automation; Computer science; Digital modulation; Educational institutions; Intelligent control; Phase shift keying; Support vector machine classification; Support vector machines; Wavelet packets; Wavelet transforms; cumulants; hierarchical recognition; modulation signal recognition; support vector machines; wavelet packet transform;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593562
