NDLI: A Hybrid ICA-SVM Approach to Continuous Phase Modulation Recognition

Content Provider	IEEE Xplore Digital Library
Author	Boutte, D. Santhanam, B.
Copyright Year	1994
Abstract	Automatic modulation recognition is a topic of interest in many fields including signal surveillance, multi-user detection and radio frequency spectrum monitoring. In this paper, we present an algorithm for recognition of different types of continuous phase modulation signals that uses a combination of features extracted through cyclic spectral analysis and an ICA-SVM hybrid recognition system. Simulation results demonstrate the ability of the algorithm to correctly identify modulation types over a wide range of SNR scenarios. The effects of pulse shaping and partial response waveforms are also investigated.
Sponsorship	IEEE Signal Processing Society
Starting Page	402
Ending Page	405
Page Count	4
File Size	358564
File Format	PDF
ISSN	10709908
Volume Number	16
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Continuous phase modulation RF signals Signal detection Surveillance Multiuser detection Radio frequency Computerized monitoring Feature extraction Spectral analysis Radiofrequency identification SVM Automatic modulation recognition ICA
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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A Hybrid ICA-SVM Approach to Continuous Phase Modulation Recognition