Distributed asynchronous modulation classification based on hybrid maximum likelihood approach

In this paper, we consider the problem of automatic modulation classification (AMC) with multiple sensors. A distributed hybrid maximum likelihood (HML) based algorithm in the presence of unknown time offset, phase offset and channel gain is presented. The proposed distributed algorithm that employs...

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Veröffentlicht in:	MILCOM 2015 2015 IEEE Military Communications Conference S. 1519 - 1523
Hauptverfasser:	Wimalajeewa, Thakshila, Jagannath, Jithin, Varshney, Pramod K., Drozd, Andrew, Wei Su
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2015
Schlagworte:	distributed decision fusion generalized expectation maximization algorithm hybrid maximum likelihood Maximum likelihood estimation Modulation Modulation classification Sensors Signal processing algorithms Signal to noise ratio
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