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Classification of linear and non-linear modulations using the Baum–Welch algorithm and MCMC methods

Puengnim, Anchalee and Thomas, Nathalie and Tourneret, Jean-Yves and Vidal, Josep Classification of linear and non-linear modulations using the Baum–Welch algorithm and MCMC methods. (2010) Signal Processing, vol. 90 (n° 12). pp. 3242-3255. ISSN 0165-1684

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Official URL: http://dx.doi.org/10.1016/j.sigpro.2010.05.030

Abstract

Satellite transmissions classically use constant amplitude linear modulation schemes, such as M-state Phase Shift Keying (M-PSK), because of their high robustness to amplifier non-linearities. However, other modulation formats are interesting in a satellite transmission context. For instance, non-linear modulations such as Gaussian Minimum Shift Keying (GMSK) present a higher spectral efficiency and appear in new standards for telemetry/telecommand satellite links. Another example is Offset-QPSK (OQPSK) modulation that allows one to decrease the out-of-band interference due to band limiting and the nonlinearity of the amplifier. Obviously, all satellite systems that use various modulation schemes will have to co-exist. In this context, modulation recognition using the received communication signal is essential to identify a possibly perturbing modulation scheme. This paper studies two Bayesian classifiers to recognize linear and non linear modulations. These classifiers estimate the posterior probabilities of the received signal, given each possible modulation, and plug them into the optimal Bayes decision rule. Two algorithms are used for that purpose. The first one generates samples distributed according to the posterior distributions of the possible modulations using Markov chain Monte Carlo (MCMC) methods. The second algorithm estimates the posterior distribution of the possible modulations using the Baum-Welch (BW) algorithm. The performance of the resulting classifiers is assessed through several simulation results.

Item Type:Article
Additional Information:Thanks to Elsevier editor. The definitive version is available at http://www.sciencedirect.com The original PDF of the article can be found at Signal Processing website: http://www.elsevier.com/wps/find/journaldescription.cws_home/505662/description#description
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
Université de Toulouse > Université de Toulouse II-Le Mirail - UTM
Université de Toulouse > Université de Toulouse I-Sciences Sociales - UT1
Other partners > Universitat Politècnica de Catalunya - UPC (SPAIN)
Laboratory name:
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Deposited By: Jean-yves TOURNERET

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