{"title":"认知无线电中基于周期平稳检测的频谱感知天线选择","authors":"S. Narieda","doi":"10.1109/CCNC.2014.6994418","DOIUrl":null,"url":null,"abstract":"This paper presents a novel antenna selection technique for cyclostationarity detection based spectrum sensing for cognitive radio networks. An antenna selection criterion, which can compute by some test statistics obtained the cyclic autocorrelation function of received signals at all receive antenna elements, is developed. The presented results are compared with some conventional results, and the presented techniques can improve the sensing performances in same sensing period as the conventional techniques.","PeriodicalId":287724,"journal":{"name":"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Antenna selection for cyclostationarity detection based spectrum sensing in cognitive radio\",\"authors\":\"S. Narieda\",\"doi\":\"10.1109/CCNC.2014.6994418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel antenna selection technique for cyclostationarity detection based spectrum sensing for cognitive radio networks. An antenna selection criterion, which can compute by some test statistics obtained the cyclic autocorrelation function of received signals at all receive antenna elements, is developed. The presented results are compared with some conventional results, and the presented techniques can improve the sensing performances in same sensing period as the conventional techniques.\",\"PeriodicalId\":287724,\"journal\":{\"name\":\"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2014.6994418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2014.6994418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Antenna selection for cyclostationarity detection based spectrum sensing in cognitive radio
This paper presents a novel antenna selection technique for cyclostationarity detection based spectrum sensing for cognitive radio networks. An antenna selection criterion, which can compute by some test statistics obtained the cyclic autocorrelation function of received signals at all receive antenna elements, is developed. The presented results are compared with some conventional results, and the presented techniques can improve the sensing performances in same sensing period as the conventional techniques.