OFDM Recognition Based on Cyclostationary Analysis in an Open Spectrum Scenario

Author

Bixio, Luca ; Oliveri, Giacomo ; Ottonello, Marina ; Regazzoni, Carlo S.

Author_Institution

Dept. of Biophys. & Electron. Eng., Univ. of Genoa, Genoa

fYear

2009

fDate

26-29 April 2009

Firstpage

1

Lastpage

5

Abstract

In this paper the problem of detecting the presence of similar OFDM signals, i.e. WLAN and WiMAX signals, in an Open Spectrum scenario is faced. The identification of the channel occupancy and the signal classification are performed by using a fast detector based on a single spectral correlation function estimator and a multi-class support vector machine classifier which are designed and tested in a multipath environment. Finally, the obtained numerical results and the amount of processing necessary to perform the considered operations are reported and discussed.

Keywords

OFDM modulation; WiMax; channel allocation; correlation methods; signal classification; signal detection; spectral analysis; support vector machines; wireless LAN; wireless channels; OFDM recognition; Open Spectrum scenario; WLAN; WiMAX; channel occupancy; cyclostationary analysis; multiclass support vector machine classifier; signal classification; signal detection; single spectral correlation function estimator; Detectors; Face detection; OFDM; Pattern classification; Performance evaluation; Signal design; Support vector machine classification; Support vector machines; WiMAX; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th

Conference_Location

Barcelona

ISSN

1550-2252

Print_ISBN

978-1-4244-2517-4

Electronic_ISBN

1550-2252

Type

conf

DOI

10.1109/VETECS.2009.5073718

Filename

5073718