{"title":"Three-stage centralized spectrum sensing of OFDM signals","authors":"Gaurav Bafna, P. Banelli, L. Rugini","doi":"10.1109/SPAWC.2011.5990416","DOIUrl":null,"url":null,"abstract":"We propose a three-stage centralized spectrum sensing for cognitive radios in OFDM systems, where local decisions of cooperative sensors are combined at the fusion center. The fusion center, if necessary, can invoke a third stage for finer sensing. The first two stages employ distributed energy detectors and a centralized voting rule, while the third stage exploits the OFDM signal correlation. The overall probability of detection is optimized by jointly designing the optimal thresholds at the three stages, for a given probability of false alarm. The detection performance and the average sensing time are analyzed theoretically and compared by simulations with spectrum sensing that employs only the two-stage centralized detector or the correlation-based detector.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2011.5990416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We propose a three-stage centralized spectrum sensing for cognitive radios in OFDM systems, where local decisions of cooperative sensors are combined at the fusion center. The fusion center, if necessary, can invoke a third stage for finer sensing. The first two stages employ distributed energy detectors and a centralized voting rule, while the third stage exploits the OFDM signal correlation. The overall probability of detection is optimized by jointly designing the optimal thresholds at the three stages, for a given probability of false alarm. The detection performance and the average sensing time are analyzed theoretically and compared by simulations with spectrum sensing that employs only the two-stage centralized detector or the correlation-based detector.