{"title":"通过柯伊伯测试的局部和合作频谱传感","authors":"Jingwen Zhang, Fanggang Wang, Z. Zhong, D. Cabric","doi":"10.1109/ICCW.2015.7247243","DOIUrl":null,"url":null,"abstract":"A novel Kuiper's test-based spectrum sensing approach in cognitive radio is proposed in this paper. The Kuiper-based detector is a computationally efficient spectrum sensing algorithm, which exploits the maximum positive and negative deviations between the empirical cumulative distribution function (cdf) of received samples and that of noise signals as the test statistic, and is insensitive to the model mismatch. The Kuiper-based detector is further considered in the cooperative detection, where an improved fusion rule is adopted. Simulation results validate that compared with the existing detectors, the Kuiper-based detector provides superior detection performance and robustness with low computational complexity.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":"10 1","pages":"579-584"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Local and cooperative spectrum sensing via Kuiper's test\",\"authors\":\"Jingwen Zhang, Fanggang Wang, Z. Zhong, D. Cabric\",\"doi\":\"10.1109/ICCW.2015.7247243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel Kuiper's test-based spectrum sensing approach in cognitive radio is proposed in this paper. The Kuiper-based detector is a computationally efficient spectrum sensing algorithm, which exploits the maximum positive and negative deviations between the empirical cumulative distribution function (cdf) of received samples and that of noise signals as the test statistic, and is insensitive to the model mismatch. The Kuiper-based detector is further considered in the cooperative detection, where an improved fusion rule is adopted. Simulation results validate that compared with the existing detectors, the Kuiper-based detector provides superior detection performance and robustness with low computational complexity.\",\"PeriodicalId\":6464,\"journal\":{\"name\":\"2015 IEEE International Conference on Communication Workshop (ICCW)\",\"volume\":\"10 1\",\"pages\":\"579-584\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Communication Workshop (ICCW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCW.2015.7247243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Communication Workshop (ICCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCW.2015.7247243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Local and cooperative spectrum sensing via Kuiper's test
A novel Kuiper's test-based spectrum sensing approach in cognitive radio is proposed in this paper. The Kuiper-based detector is a computationally efficient spectrum sensing algorithm, which exploits the maximum positive and negative deviations between the empirical cumulative distribution function (cdf) of received samples and that of noise signals as the test statistic, and is insensitive to the model mismatch. The Kuiper-based detector is further considered in the cooperative detection, where an improved fusion rule is adopted. Simulation results validate that compared with the existing detectors, the Kuiper-based detector provides superior detection performance and robustness with low computational complexity.