Title :
A Comparison of Three Classes of Spectrum Sensing Techniques
Author :
Ikuma, Takeshi ; Naraghi-Pour, Mort
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA
Abstract :
Spectrum sensing is used to identify the (temporarily) unused (licensed) frequency bands and as such plays a key role in dynamic spectrum access. Spectrum sensing is currently being investigated by a number of researchers. In this paper we compare the performance of three classes of algorithms-energy detectors, autocorrelation detectors, and the cyclic autocorrelation detector. The focus of the study is on the trade-offs of the three approaches under fixed false alarm and detection probabilities.
Keywords :
cognitive radio; spread spectrum communication; cognitive radios; cyclic autocorrelation detector; dynamic spectrum access; energy detectors; spectrum sensing techniques; Autocorrelation; Bandwidth; Baseband; Cognitive radio; Computer vision; Detectors; Frequency; Low pass filters; RF signals; Signal to noise ratio;
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
Print_ISBN :
978-1-4244-2324-8
DOI :
10.1109/GLOCOM.2008.ECP.843
