Asynchronous Linear Modulation Classification With Multiple Sensors via Generalized EM Algorithm

In this paper, we consider the problem of automatic modulation classification with multiple sensors in the presence of unknown time offset, phase offset and received signal amplitude. We develop a novel hybrid maximum likelihood (HML) classification scheme based on a generalized expectation maximiza...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 14; no. 11; pp. 6389 - 6400
Main Authors:	Ozdemir, Onur, Wimalajeewa, Thakshila, Dulek, Berkan, Varshney, Pramod K., Wei Su
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Classification data fusion generalized expectation maximization algorithm hybrid maximum likelihood Maximization Maximum likelihood estimation Modulation Modulation classification multiple sensors Nonuniform Offsets Receivers Sensors Signal to noise ratio Synchronism Synchronization data fusion multiple sensors Modulation classification hybrid maximum likelihood generalized expectation maximization algorithm
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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