{"title":"基于代数技术的认知无线电频谱感知分布不连续检测","authors":"Wael Guibène, A. Hayar, M. Alouane","doi":"10.4108/ICST.CROWNCOM2010.9183","DOIUrl":null,"url":null,"abstract":"In this paper1, we propose a new Spectrum Sensing technique for spectrum distribution discontinuities detection using algebraic detection (AD). The presented mathematical background leading to such technique is based on operational calculus and differential algebra which offers a new stand point in sensing theory. Even if this background is quite heavy, the sensing algorithm related to this technique is nevertheless very simple and remains with extremely low complexity, comparable even to the Energy Detection technique (ED). Simulations results show good performance of the proposed technique in terms of reliability and accuracy with low complexity and good robustness in noisy context.","PeriodicalId":193648,"journal":{"name":"2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Distribution discontinuities detection using algebraic technique for spectrum sensing in cognitive radio\",\"authors\":\"Wael Guibène, A. Hayar, M. Alouane\",\"doi\":\"10.4108/ICST.CROWNCOM2010.9183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper1, we propose a new Spectrum Sensing technique for spectrum distribution discontinuities detection using algebraic detection (AD). The presented mathematical background leading to such technique is based on operational calculus and differential algebra which offers a new stand point in sensing theory. Even if this background is quite heavy, the sensing algorithm related to this technique is nevertheless very simple and remains with extremely low complexity, comparable even to the Energy Detection technique (ED). Simulations results show good performance of the proposed technique in terms of reliability and accuracy with low complexity and good robustness in noisy context.\",\"PeriodicalId\":193648,\"journal\":{\"name\":\"2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/ICST.CROWNCOM2010.9183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.CROWNCOM2010.9183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distribution discontinuities detection using algebraic technique for spectrum sensing in cognitive radio
In this paper1, we propose a new Spectrum Sensing technique for spectrum distribution discontinuities detection using algebraic detection (AD). The presented mathematical background leading to such technique is based on operational calculus and differential algebra which offers a new stand point in sensing theory. Even if this background is quite heavy, the sensing algorithm related to this technique is nevertheless very simple and remains with extremely low complexity, comparable even to the Energy Detection technique (ED). Simulations results show good performance of the proposed technique in terms of reliability and accuracy with low complexity and good robustness in noisy context.