Blind spectrum sensing for cognitive radios using discriminant analysis: A novel approach
2013 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, Vol. 62, no 11, 2912-2921 p.Article in journal (Refereed) Published
In this paper, we present a new spectrum sensing technique for cognitive radios based on discriminant analysis called spectrum discriminator. The presented technique uses the knowledge of the noise uncertainty and a probabilistic validation to overcome the limitations of the discriminant analysis. A comparative study between the proposed technique and the maximum-minimum eigenvalue detection has been performed based on two performance metrics: the probability of false alarm and the probability of detection. The spectrum discriminator has been further developed to a peel-off technique where all primary users can be detected. The performance of the spectrum discriminator and the peel-off technique has been tested on simulations and experimentally verified. The comparative study is based on simulations as well as measurements.
Place, publisher, year, edition, pages
IEEE , 2013. Vol. 62, no 11, 2912-2921 p.
Blind detection, cognitive radio, discriminant analysis, maximum-minimum eigenvalues detection, spectrum discriminator, spectrum sensing
IdentifiersURN: urn:nbn:se:kth:diva-111849DOI: 10.1109/TIM.2013.2267456ISI: 000325820200004ScopusID: 2-s2.0-84885958005OAI: oai:DiVA.org:kth-111849DiVA: diva2:587327
QC 20131108. Updated from accepted to published.2013-01-142013-01-142015-03-03Bibliographically approved