G. Preethi, K. Gouthami, Vennela Vajrala, A. Praveena, P. Sireesha
{"title":"Design and Implementation of Non-Cooperative Frequency Detection for Cognitive Radio Application","authors":"G. Preethi, K. Gouthami, Vennela Vajrala, A. Praveena, P. Sireesha","doi":"10.1109/ICSTCEE49637.2020.9276917","DOIUrl":null,"url":null,"abstract":"Cognitive Radio (CR) is an intelligent radio that enables the Dynamic Spectrum Access (DSA) against scarcity of available spectrum and inefficient usage of it, by sensing the idle license bands and to use these bands to transmit the data. Two main types of communication technologies used by the Primary User (PU) to be detected by Cognitive Radios are Fixed Frequency (FF) and Frequency Hopping Spread Spectrum (FHSS). In this paper, the design for automatic signal detection i.e. Spectrum Sensing of FF, FH frequencies and classification of FH signal is presented by using the energy detection method. The FH classification is with 25kHz Resolution Bandwidth for 20MHz FH bandwidth. Hardware design is realized in Xilinx System Generator and achieved results for various FF, FH frequencies.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCEE49637.2020.9276917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cognitive Radio (CR) is an intelligent radio that enables the Dynamic Spectrum Access (DSA) against scarcity of available spectrum and inefficient usage of it, by sensing the idle license bands and to use these bands to transmit the data. Two main types of communication technologies used by the Primary User (PU) to be detected by Cognitive Radios are Fixed Frequency (FF) and Frequency Hopping Spread Spectrum (FHSS). In this paper, the design for automatic signal detection i.e. Spectrum Sensing of FF, FH frequencies and classification of FH signal is presented by using the energy detection method. The FH classification is with 25kHz Resolution Bandwidth for 20MHz FH bandwidth. Hardware design is realized in Xilinx System Generator and achieved results for various FF, FH frequencies.