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Performance Analysis of Decomposed Cramer-von Mises Detector for Blind Spectrum Sensing under Noise Uncertainty
Mi, Yin1; Lu, Guangyue2
2018-11-30
Conference Name10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
Source Publication2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
VolumePart F113-CLEOPR 2018
Conference Date2018-10-18
Conference PlaceHangzhou, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank1
Abstract

The performance of the existing spectrum sensing algorithms based on goodness of fit (GoF) tests are excellent, however, they are sensitive to the noise uncertainty. In this paper, the first component of Cramer-von Mises, insensitive to variances shift, is employed as test statistic in GoF test and a fast spectrum sensing based on the component of Cramervon Mises is proposed. The detection probability and false alarm probability of the proposed method are analyzed, and its theoretical threshold is derived. Simulation results demonstrate that the proposed method can overcome the noise uncertainty and has lower complexity compared with Cramer-Von Mises (CM) criterion, and the false alarm probability can satisfy the requirements of the standard. © 2018 IEEE.

Department瞬态光学技术国家重点实验室
DOI10.1109/WCSP.2018.8555590
Indexed ByEI ; CPCI
ISBN9781538661192
Language英语
WOS IDWOS:000462059400047
EI Accession Number20190306388426
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31130
Collection瞬态光学技术国家重点实验室
Affiliation1.Xi'An Institute of Optics and Precision Mechanics of CAS University of Chinese Academy of Sciences, Xi'An University of Posts and Telecommunications, Xi'an, China;
2.Xis'An University of Posts and Telecommunications, Xi'an, China
Recommended Citation
GB/T 7714
Mi, Yin,Lu, Guangyue. Performance Analysis of Decomposed Cramer-von Mises Detector for Blind Spectrum Sensing under Noise Uncertainty[C]:Institute of Electrical and Electronics Engineers Inc.,2018.
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