Title :
Linear-quadratic detectors for spectrum sensing
Author :
Biglieri, Ezio ; Lops, Marco
Author_Institution :
Univ. Pompeu Fabra, Barcelona, Spain
Abstract :
Spectrum sensing for cognitive-radio applications may use a matched-filter detector (in the presence of full knowledge of the signal that may be transmitted by the primary user) or an energy detector (when that knowledge is missing). An intermediate situation occurs when the primary signal is imperfectly known, in which case we advocate the use of a linear-quadratic detector. We show how this detector can be designed by maximizing its deflection, and, using moment-bound theory, we examine its robustness to the variations of the actual probability distribution of the inaccurately known primary signal.
Keywords :
boundary-elements methods; cognitive radio; filtering theory; method of moments; radio spectrum management; signal detection; statistical distributions; cognitive radio applications; energy detector; linear quadratic detectors; matched-filter detector; moment-bound theory; primary signal; primary user; probability distribution; spectrum sensing; Detectors; Receivers; Robustness; Signal to noise ratio; Uncertainty; Vectors; Cognitive radio; linear-quadratic (LQ) detectors; spectrum sensing;
Journal_Title :
Communications and Networks, Journal of
DOI :
10.1109/JCN.2014.000087