A wavelet approach to wideband spectrum sensing for cognitive radios

Research output: Chapter in Book/Report/Conference proceedingConference contribution

414 Scopus citations

Abstract

In cognitive radio networks, the first cognitive task preceding any form of dynamic spectrum management is the sensing and identification of spectrum holes in wireless environments. This paper develops a wavelet approach to efficient spectrum sensing of wideband channels. The signal spectrum over a wide frequency band is decomposed into elementary building blocks of subbands that are well characterized by local irregularities in frequency. As a powerful mathematical tool for analyzing singularities and edges, the wavelet transform is employed to detect and estimate the local spectral irregular structure, which carries important information on the frequency locations and power spectral densities of the subbands. Along this line, a couple of wideband spectrum sensing techniques are developed based on the local maxima of the wavelet transform modulus and the multi-scale wavelet products. The proposed sensing techniques provide an effective radio sensing architecture to identify and locate spectrum holes in the signal spectrum.

Original languageEnglish (US)
Title of host publication1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM
PublisherIEEE Computer Society
ISBN (Print)1424403812, 9781424403813
DOIs
StatePublished - Jan 1 2006
Event1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM - Mykonos Island, Greece
Duration: Jun 8 2006Jun 10 2006

Publication series

Name1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM

Other

Other1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM
CountryGreece
CityMykonos Island
Period6/8/066/10/06

Fingerprint Dive into the research topics of 'A wavelet approach to wideband spectrum sensing for cognitive radios'. Together they form a unique fingerprint.

Cite this