{"title":"FSK-signal detection in cognitive radios using first-order cyclostationarity","authors":"Yi Zhou, K. Qaraqe, E. Serpedin, O. Dobre","doi":"10.1109/ICTEL.2010.5478656","DOIUrl":null,"url":null,"abstract":"Cognitive radio is regarded as a novel approach for improving the utilization of precious radio spectrum resources. The detection of low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance for cognitive radios. This paper proposes a detection algorithm based on the first-order cyclostationarity for frequency shift keying (FSK) signals that only requires rough information on the signal bandwidth, carrier frequency and symbol rate. A theoretical asymptotic analysis is performed. Simulation results show that the proposed algorithm performs well at low SNRs.","PeriodicalId":208094,"journal":{"name":"2010 17th International Conference on Telecommunications","volume":"474 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 17th International Conference on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTEL.2010.5478656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Cognitive radio is regarded as a novel approach for improving the utilization of precious radio spectrum resources. The detection of low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance for cognitive radios. This paper proposes a detection algorithm based on the first-order cyclostationarity for frequency shift keying (FSK) signals that only requires rough information on the signal bandwidth, carrier frequency and symbol rate. A theoretical asymptotic analysis is performed. Simulation results show that the proposed algorithm performs well at low SNRs.