Modulation classification of QAM schemes using the DFT of phase histogram combined with modulus information

Author

Schreyögg, Christoph ; Reichert, Jürgen

Author_Institution

Res. & Technol., Daimler-Benz AG, Ulm, Germany

Volume

3

fYear

1997

fDate

2-5 Nov 1997

Firstpage

1372

Abstract

We present a method to classify various QAM signal constellations by separately analysing the DFT of the phase histogram and applying knowledge about the distribution of the magnitude. The analysis is carried out using the maximum likelihood approach in both cases. In the paper the likelihood functions are derived and a rule to combine these for classification is given. Furthermore the classification performance for BPSK, QPSK, 8-PSK, V.29Fallback (V.29F,8QAM), V.29 (16QAM) and V.32Fallback-signals (V.32F,16QAM) is shown by numerical simulations

Keywords

discrete Fourier transforms; maximum likelihood estimation; pattern classification; phase shift keying; quadrature amplitude modulation; quadrature phase shift keying; 16QAM; 8-PSK; BPSK; DFT; QAM schemes; QPSK; V.29; V.29F 8QAM; V.29Fallback; V.32F 16QAM; V.32Fallback signals; maximum likelihood; modulation classification; modulus information; phase histogram; signal constellations; Binary phase shift keying; Discrete Fourier transforms; Frequency estimation; Histograms; Maximum likelihood estimation; Quadrature amplitude modulation; Sensor systems; Signal analysis; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

MILCOM 97 Proceedings

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4249-6

Type

conf

DOI

10.1109/MILCOM.1997.644992

Filename

644992