Modulation recognition based on constellation diagram for M-QAM signals

Author

Chou Zhendong ; Jiang Weining ; Xiang Changbo ; Li Min

Author_Institution

41st Inst., China Electron. Technol. Group Corp., Qingdao, China

Volume

1

fYear

2013

fDate

16-19 Aug. 2013

Firstpage

70

Lastpage

74

Abstract

This paper proposed a modulation recognition algorithm for M-QAM signals by the constellation diagram which does not require the prior information. Firstly, this scheme estimates the modulation parameters. Secondly, it reconstructs the received signals´ constellation and uses k-means cluster algorithm to compute the number of the signal constellation points which are as a recognition feature used for classification. The experimental simulation results proves that this method is effective for M-QAM signals, and the correct recognition ratio reaches 100% under the condition that the SNR is higher than 15dB. So it has relatively preferable practical value.

Keywords

pattern clustering; quadrature amplitude modulation; M-QAM signals; constellation diagram; k-means cluster algorithm; modulation recognition; received signal constellation; signal constellation points; Clustering algorithms; Conferences; Constellation diagram; Partitioning algorithms; Quadrature amplitude modulation; Signal to noise ratio; K-means clustering algorithm; M-QAM; clustering; constellation; modulation recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement & Instruments (ICEMI), 2013 IEEE 11th International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4799-0757-1

Type

conf

DOI

10.1109/ICEMI.2013.6743041

Filename

6743041