Title
Blind Spectrum Sensing for Cognitive Radios Using Discriminant Analysis: A Novel Approach.
Abstract
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 b...
Year
DOI
Venue
2013
10.1109/TIM.2013.2267456
IEEE Transactions on Instrumentation and Measurement
Keywords
Field
DocType
Detectors,Uncertainty,Signal to noise ratio,Cognitive radio,Probabilistic logic
Signal processing,False alarm,Communications system,Electronic engineering,Artificial intelligence,Probabilistic logic,Statistical power,Discriminator,Pattern recognition,Speech recognition,Linear discriminant analysis,Mathematics,Cognitive radio
Journal
Volume
Issue
ISSN
62
11
0018-9456
Citations 
PageRank 
References 
10
0.65
17
Authors
5
Name
Order
Citations
PageRank
Mohamed Hamid1253.22
Niclas Björsell26813.63
Wendy Van Moer39929.63
Kurt Barbé48120.28
Slimane Ben Slimane515016.03