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Spectrum sensing is an essential task in cognitive radio technology. Most of current detectors take the noise power as prior knowledge which makes the detection performance sensitive to noise uncertainty. In this paper, we propose an F-test based detector to overcome this problem. The proposed approach is robust to noise mismatch and requires low computational complexity. Based on the table of F-distribution,...
Spectrum sensing is a key task in cognitive radio networks. Traditional sensing techniques such as energy detector suffer from noise uncertainty problem or require high computational complexity. In this paper, we propose a novel sensing technique using F-test by considering a multiple antenna cognitive radio system. This method is insensitive to noise uncertainty and easy to implement. It requires...
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