An Automatic Digital Modulation Classifier for Measurement on Telecommunication Networks

This paper presents a method for the automatic classification of digital modulations without a priori knowledge of the signal parameters. This method can recognize classical single- carrier modulations such as M-ary phase-shift keying, M-ary frequency-shift keying, M-ary amplitude-shift keying, and...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2007-10, Vol.56 (5), p.1711-1720
Main Authors: Grimaldi, D., Rapuano, S., De Vito, L.
Format: Article
Language:English
Subjects:
Amplitude modulation
Carriers
Classification
Digital
Digital modulation
digital modulations
Digital subscriber line
DSL
Frequency division multiplexing
Frequency modulation
Frequency shift keying
Keying
Modulation
OFDM modulation
orthogonal frequency-division multiplexing (OFDM)
Phase modulation
Phase shift keying
Quadrature amplitude modulation
Studies
Subscriber line
zero crossing
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Summary:This paper presents a method for the automatic classification of digital modulations without a priori knowledge of the signal parameters. This method can recognize classical single- carrier modulations such as M-ary phase-shift keying, M-ary frequency-shift keying, M-ary amplitude-shift keying, and M-ary quadrature amplitude modulation, as well as orthogonal frequency-division multiplexing modulations such as discrete mul- titone that is used for asymmetric digital subscriber line and very high speed digital subscriber line standards and for power-line carrier transmissions. After identification of the modulation type, the method automatically estimates some parameters characterizing the modulation. To evaluate the method performance, several simulations have been carried out in different operating conditions that should be particularly critical by varying the values of signal- to-noise ratio and the main parameters of each identifiable modulation. To assess the advantages, comparison with other classification methods has been given. To validate the assumption that is made, experimental tests have been performed.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2007.895675