Paper Info
Title
OFDM Signal Identification and Transmission Parameter Estimation for Cognitive Radio Applications
Abstract
Methods for identification of orthogonal frequency division multiplexing (OFDM) signals and estimation of fundamental OFDM parameters are developed in this paper. Detected transmissions are classified as single-carrier or multi-carrier. In the case of multi-carrier transmission, OFDM symbol duration and cyclic prefix (CP) length are estimated blindly using characteristics of OFDM transmission. For estimation of symbol duration and CP length, cyclostationarity of OFDM signaling is explored by using a maximum likelihood (ML) estimator. The proposed algorithms can be used in cognitive radio for identifying various OFDM-based transmissions and for electronic surveillance to detect illegal or enemy signals.
Year
DOI
Venue
2007
10.1109/GLOCOM.2007.771
Washington, DC
Keywords
Field
DocType
OFDM modulation,cognitive radio,maximum likelihood estimation,parameter estimation,signal detection,telecommunication security,OFDM signal identification,OFDM signaling,cognitive radio,cyclic prefix length,electronic surveillance,enemy signal detection,illegal signal detection,maximum likelihood estimator,multicarrier transmission,orthogonal frequency division multiplexing,single-carrier transmission,symbol duration estimation,transmission parameter estimation
Transmission (mechanics),Detection theory,Cyclic prefix,Computer science,Maximum likelihood,Real-time computing,Electronic engineering,Estimation theory,Statistics,Orthogonal frequency-division multiplexing,Estimator,Cognitive radio
Conference
ISSN
ISBN
Citations 
1930-529X
978-1-4244-1043-9
13
PageRank 
References 
Authors
1.47
6
2
Name
Order
Citations
PageRank
Tevfik Yücek1185880.03
Hüseyin Arslan233233.33