Research Article
Blind Spectrum Sensing Based on Unilateral Goodness of Fit Testing for Multi-antenna Cognitive Radio System
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@INPROCEEDINGS{10.1007/978-3-319-66625-9_46, author={Yinghui Ye and Guangyue Lu}, title={Blind Spectrum Sensing Based on Unilateral Goodness of Fit Testing for Multi-antenna Cognitive Radio System}, proceedings={Communications and Networking. 11th EAI International Conference, ChinaCom 2016, Chongqing, China, September 24-26, 2016, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Cognitive radio Blind spectrum sensing A unilateral Right-tail Anderson-Darling criterion Noise uncertainty Multiple antennas}, doi={10.1007/978-3-319-66625-9_46} }- Yinghui Ye
Guangyue Lu
Year: 2017
Blind Spectrum Sensing Based on Unilateral Goodness of Fit Testing for Multi-antenna Cognitive Radio System
CHINACOM
Springer
DOI: 10.1007/978-3-319-66625-9_46
Abstract
Goodness of fit tests have been used to find available spectrum in cognitive radio system. In this paper, a unilateral Right-tail Anderson-Darling (URAD) criterion, one of goodness of fit test, is introduced and a blind spectrum sensing scheme based on URAD criterion by using Student’s distribution is proposed for multiple antennas cognitive radio system. The spectrum sensing is reformulated as a unilateral Student’s testing problem, and the URAD criterion is employed to sense the available spectrum. Numerical simulations verify that the proposed spectrum scheme is robust to noise uncertainty, and greatly outperforms five classical spectrum sensing schemes.
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