{"title":"认知无线电频谱感知技术在煤矿通信中的应用","authors":"Cheng Guizhen, Zhang Xiaochun, Ding Enjie, Qian Hongwei","doi":"10.1109/IUCE.2009.120","DOIUrl":null,"url":null,"abstract":"The present wireless communication system under coal mines is characterized by single pattern, fixed communication frequency, incapability of adaptive to various tunnel environments. To solve the above problems, cognitive radio (CR) is applied to the system. With the energy detection algorithms used in the spectrum sensing of various tunnels under mines, the spectrum sensing method adaptive to tunnel environment is put forward. The detection probability of Rayleigh Channel and Rician Channel is analyzed, and the feedback joint detection algorithm based on the tunnel environment is put forward. The simulation shows that the total detection probability of system obviously rises with the method of adaptive through feedback information to adjust the node weight.","PeriodicalId":153560,"journal":{"name":"2009 International Symposium on Intelligent Ubiquitous Computing and Education","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Application of Cognitive Radio Spectrum Sensing Technology in the Coal Mine Communication\",\"authors\":\"Cheng Guizhen, Zhang Xiaochun, Ding Enjie, Qian Hongwei\",\"doi\":\"10.1109/IUCE.2009.120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present wireless communication system under coal mines is characterized by single pattern, fixed communication frequency, incapability of adaptive to various tunnel environments. To solve the above problems, cognitive radio (CR) is applied to the system. With the energy detection algorithms used in the spectrum sensing of various tunnels under mines, the spectrum sensing method adaptive to tunnel environment is put forward. The detection probability of Rayleigh Channel and Rician Channel is analyzed, and the feedback joint detection algorithm based on the tunnel environment is put forward. The simulation shows that the total detection probability of system obviously rises with the method of adaptive through feedback information to adjust the node weight.\",\"PeriodicalId\":153560,\"journal\":{\"name\":\"2009 International Symposium on Intelligent Ubiquitous Computing and Education\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Symposium on Intelligent Ubiquitous Computing and Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IUCE.2009.120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Symposium on Intelligent Ubiquitous Computing and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IUCE.2009.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Application of Cognitive Radio Spectrum Sensing Technology in the Coal Mine Communication
The present wireless communication system under coal mines is characterized by single pattern, fixed communication frequency, incapability of adaptive to various tunnel environments. To solve the above problems, cognitive radio (CR) is applied to the system. With the energy detection algorithms used in the spectrum sensing of various tunnels under mines, the spectrum sensing method adaptive to tunnel environment is put forward. The detection probability of Rayleigh Channel and Rician Channel is analyzed, and the feedback joint detection algorithm based on the tunnel environment is put forward. The simulation shows that the total detection probability of system obviously rises with the method of adaptive through feedback information to adjust the node weight.
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