DocumentCode :
2637613
Title :
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
Link To Document :
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