On the use of Compressive Sampling for Wide-band Spectrum Sensing
2010 (English)In: 2010 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), IEEE , 2010, 354-359 p.Conference paper (Refereed)
In a scenario where a cognitive radio unit wishes to transmit, it needs to know over which frequency bands it can operate. It can obtain thisknowledge by estimating the power spectral density from a Nyquist-rate sampled signal. For wide-band signals sampling at the Nyquistrate is a major challenge and may be unfeasible. In this paper we accurately detect spectrum holes in sub-Nyquist frequencies without assuming wide sense stationarity in the compressed sampled signal. A novel extension to further reduce the sub-Nyquist samples is thenpresented by introducing a memory based compressed sensing thatrelies on the spectrum to be slowly varying.
Place, publisher, year, edition, pages
IEEE , 2010. 354-359 p.
Compressive sampling, Cognitive radio, power spectrum estimation, sub-Nyquist sampling
IdentifiersURN: urn:nbn:se:kth:diva-34412DOI: 10.1109/ISSPIT.2010.5711810ScopusID: 2-s2.0-79952383891OAI: oai:DiVA.org:kth-34412DiVA: diva2:421047
ISSPIT - International Symposium on Signal Processing and Information Technology, Luxor
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