Modulation classification in fading multipath channel

Author

Venäläinen, Juha ; Terho, Liisa ; Koivunen, Vasa

Author_Institution

Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland

Volume

2

fYear

2002

fDate

3-6 Nov. 2002

Firstpage

1890

Abstract

A system for modulation classification in a dispersive communication channel is developed. The channel equalizer and symbol rate are blindly estimated from data. The features used for recognition include cumulants and moments computed from a polar coordinate representation of the IQ-plane. The actual classification is performed using a neural MLP classifier. Simulation results are presented using the WSSUS (wide sense stationary uniform scattering) channel model in typical urban and hilly terrain scenarios. Highly accurate recognition is achieved even at low signal-to-noise ratios. The importance of the equalization stage is clearly demonstrated.

Keywords

blind equalisers; channel estimation; dispersive channels; fading channels; feedforward neural nets; higher order statistics; modulation; multilayer perceptrons; multipath channels; signal classification; telecommunication computing; SNR; blind estimation; channel equalizer; cumulants; dispersive channel; fading channel; fading multipath channel; feedforward neural classifier; hilly terrain scenario; modulation classification; multilayer perceptrons; neural MLP classifier; polar coordinate representation; signal-to-noise ratio; typical urban scenario; Communication channels; Computational modeling; Equalizers; Fading; Feedforward systems; Laboratories; Multipath channels; Radio spectrum management; Surveillance; Transceivers;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7576-9

Type

conf

DOI

10.1109/ACSSC.2002.1197103

Filename

1197103