A New Method for MQAM Signals Identification

Author

Liu, Mingqian ; Li, Bingbing ; Tang, Weidong

Author_Institution

State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´´an, China

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

The paper is presented a new method to directly classify various QAM signals in low SNR in the intermediate frequency (IF). The method extracts the amplitude of signal after wavelet transform using the optimal scale to get the maximum gain and to select the clear features in the distribution centers in the histogram for identifying different MQAM signals, avoiding the calculation error of frequency offset and phase bias caused by moving the signal from IF to baseband. The simulation results show that the correct identification accuracy is not less than 95% for 16 QAM, 32 QAM and 64 QAM signals until SNR = 3 dB, which have proved the validity of the method.

Keywords

quadrature amplitude modulation; wavelet transforms; MQAM signals identification; intermediate frequency; signal amplitude; wavelet transform; Filtering algorithms; Histograms; Quadrature amplitude modulation; Signal to noise ratio; Simulation; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3708-5

Electronic_ISBN

978-1-4244-3709-2

Type

conf

DOI

10.1109/WICOM.2010.5600729

Filename

5600729