Modulation classification based on a maximum-likelihood receiver in the cyclic-HOS domain

Author

Marchand, Pierre ; Le Martret, Christophe ; Lacoume, Jean-Louis

Author_Institution

LIS-ENSIEG, St. Martin d´Hères, France

fYear

1998

fDate

8-11 Sept. 1998

Firstpage

1

Lastpage

4

Abstract

A multiple hypothesis QAM modulation classification task is adressed in this paper. The classifier is designed in the framework of decision theory. A characteristic feature is extracted from the signal, and is compared to the possible theoretical features in the maximum-likelihood sense. This feature is composed of a combination between fourth-order and squared second-order cyclic temporal cumulante. The combination between cumulante of different orders is intended to bypass the incertainty about the power of the signal of interest. As an application, we present simulated performance in the context of 4-QAM vs 16-QAM vs 64-QAM classification.

Keywords

decision theory; feature extraction; maximum likelihood estimation; quadrature amplitude modulation; signal classification; 16-QAM classification; 4-QAM classification; 64-QAM classification; characteristic feature extraction; cyclic-HOS domain; decision theory; fourth-order cyclic temporal cumulant; maximum-likelihood receiver; multiple hypothesis QAM modulation classification task; squared second-order cyclic temporal cumulant; Context; Correlation; Maximum likelihood estimation; Quadrature amplitude modulation; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO 1998), 9th European

Conference_Location

Rhodes

Print_ISBN

978-960-7620-06-4

Type

conf

Filename

7089586