Paper Info
Title
Spectral monitoring and parameter estimation for ZP-OFDM signals
Abstract
Spectral monitoring has received considerable attention i n the context of opportunistic and cognitive radio systems. T he increasing number of wireless technologies calls for effici ent techniques to monitor the radio frequency spectrum. Spectral monitoring is based on signal detection tools to reduce the spectral search to the signals of interest as well as estimat ion tools to identify their characteristics (carrier frequenc y, band- width, power, modulation, symbol duration...). In this pap er, the spectral components are estimated by the averaged pe- riodogram non-parametric approach using an FFT. The sig- nals of interest are further processed to determine the type of modulation (single-carrier or multi-carrier). In particu lar, we develop a parameter estimation tool for ZP-OFDM signals based on power autocorrelation to determine their symbol and zero padding duration. Simulation results are provided for an extensive number of generated signals under frequency selective channels, to assess the performance of the signal detection in realistic scenarios.
Year
DOI
Venue
2009
10.5281/zenodo.41624
EUSIPCO
Keywords
Field
DocType
ofdm modulation,cognitive radio,fast fourier transforms,parameter estimation,signal detection,fft,zp-ofdm signals,cognitive radio systems,estimation tools,frequency selective channels,periodogram nonparametric approach,power autocorrelation,radio frequency spectrum,signal detection tools,spectral monitoring,wireless technologies,zero padding duration
Baseband,Detection theory,Computer science,Signal-to-noise ratio,Modulation,Electronic engineering,Speech recognition,Bandwidth (signal processing),Radio spectrum,Orthogonal frequency-division multiplexing,Cognitive radio
Conference
ISBN
Citations 
PageRank 
978-161-7388-76-7
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Le Nir, V.1112.65
Toon van Waterschoot215714.29
Marc Moonen33673326.91
Jonathan Duplicy4858.10