Interclass and intraclass modulation recognition using the wavelet transform

Maliatsos, K; Vassaki, S; Constantinou, P

dc.contributor.author	Maliatsos, K	en
dc.contributor.author	Vassaki, S	en
dc.contributor.author	Constantinou, P	en
dc.date.accessioned	2014-03-01T02:44:44Z
dc.date.available	2014-03-01T02:44:44Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31943
dc.subject	Continuous Wavelet Transform	en
dc.subject	Haar Wavelet	en
dc.subject	Additive White Gaussian Noise	en
dc.subject	Real Time	en
dc.subject	Wavelet Transform	en
dc.subject.other	Feature extraction	en
dc.subject.other	Frequency modulation	en
dc.subject.other	Gaussian noise (electronic)	en
dc.subject.other	Wavelet transforms	en
dc.subject.other	Haar wavelet	en
dc.subject.other	Intraclass modulation recognition	en
dc.subject.other	Algorithms	en
dc.title	Interclass and intraclass modulation recognition using the wavelet transform	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PIMRC.2007.4394540	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PIMRC.2007.4394540	en
heal.identifier.secondary	4394540	en
heal.publicationDate	2007	en
heal.abstract	This paper presents an algorithm for modulation recognition of received signals in the presence of additive white Gaussian noise (AWGN) with the use of the wavelet transform. The decision is made based on the extraction of some special features of the Continuous Wavelet Transform of the received signal. The Haar wavelet was used as the mother wavelet. Besides the SNR, the algorithm needs no further information for the received signal such as signal bandwidth or carrier frequency. It is able to classify PSK, QAM, FSK and ASK signals, as well as to identify the modulation order. Effort was made in order to reduce the computational workload, so that the algorithm can be suitable for real-time recognition. After extended simulation the algorithm proved to be practically inerrable for SNR>12dB and achieves low rates of false detection for SNR=10dB. © 2007 IEEE.	en
heal.journalName	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC	en
dc.identifier.doi	10.1109/PIMRC.2007.4394540	en