OFDM Modulation Classification and Parameters Extraction

Author

Li, Hong ; Bar-Ness, Yeheskel ; Abdi, Ali ; Somekh, Oren S. ; Su, Wei

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ

fYear

2006

fDate

8-10 June 2006

Firstpage

1

Lastpage

6

Abstract

A novel comprehensive classification system is proposed for recognizing the orthogonal frequency division multiplexing (OFDM) signal and extracting its parameters. An empirical distribution function-based Gaussianity test technique is first applied to distinguish OFDM from single carrier modulations. Cyclostationarity and correlation tests are then applied to estimate OFDM symbol duration and cyclic prefix duration. A bank of fast Fourier transform (FFT) bank filter is devised to detect the number of subcarriers. Numerical results are presented to verify the efficiency of the proposed scheme

Keywords

OFDM modulation; channel bank filters; fast Fourier transforms; signal classification; FFT bank filter; Gaussianity test technique; OFDM modulation classification; correlation tests; cyclostationarity tests; empirical distribution function; fast Fourier transform; orthogonal frequency division multiplexing; parameters extraction; single carrier modulations; AWGN; Additive white noise; Digital modulation; Distribution functions; Gaussian distribution; OFDM modulation; Parameter extraction; Satellite broadcasting; Signal processing; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Radio Oriented Wireless Networks and Communications, 2006. 1st International Conference on

Conference_Location

Mykonos Island

Print_ISBN

1-4244-0381-2

Electronic_ISBN

1-4244-0381-2

Type

conf

DOI

10.1109/CROWNCOM.2006.363474

Filename

4211154