Automatic Modulation Identification of QPSK and GMSK using Wavelet Transform for Adaptive Demodulator in SDR

Author

Prakasam, P. ; Madheswaran, M.

Author_Institution

Dept. of Electron. & Commun. Eng., Muthayammal Eng. Coll., Rasipuram

fYear

2007

fDate

22-24 Feb. 2007

Firstpage

507

Lastpage

511

Abstract

This paper presents an automatic modulation identification (AMI) algorithm using wavelet transform for distinguishing QPSK and GMSK in adaptive demodulator. The developed algorithm has been tested by introducing additive white Gaussian noise (AWGN) in the modulated signal. It has been found that the identification of QPSK and GMSK using histogram peaks simplifies the procedure. The performance of the proposed AMI algorithm has been computed by estimating the bit error rate (BER) and reconstruction efficiency. This shows that the correct modulation identification is possible to a lower bound of 15 dB and 6 dB for GMSK and QPSK respectively

Keywords

AWGN; demodulation; error statistics; minimum shift keying; quadrature phase shift keying; software radio; wavelet transforms; AMI algorithm; AWGN; BER; GMSK; Gaussian filtered minimum shift keying; QPSK; SDR; adaptive demodulator; additive white Gaussian noise; automatic modulation identification; bit error rate; quadrature phase shift keying; software defined radio; wavelet transform; AWGN; Additive white noise; Binary phase shift keying; Demodulation; Digital modulation; Frequency shift keying; Phase modulation; Quadrature phase shift keying; Signal processing; Wavelet transforms; CDMA; GMSK; GSM; QPSK; SDR; TDMA;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Networking, 2007. ICSCN '07. International Conference on

Conference_Location

Chennai

Print_ISBN

1-4244-0997-7

Electronic_ISBN

1-4244-0997-7

Type

conf

DOI

10.1109/ICSCN.2007.350651

Filename

4156672