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  • 标题:Performance Evaluation of Spectrum Sensing Techniques based on Eigenvalue in Cognitive Radio Networks
  • 本地全文:下载
  • 作者:Indrajit Sanjay Sonawane ; Prof. Shivendra Singh
  • 期刊名称:International Journal of Electronics, Communication and Soft Computing Science and Engineering
  • 印刷版ISSN:2277-9477
  • 出版年度:2015
  • 卷号:4
  • 期号:3
  • 出版社:IJECSCSE
  • 摘要:Spectrum management is required to control the transmission of radio waves to avoid interference and mixing among wireless users. Intelligent Transceiver i.e. Cognitive Radio is the key enabling technology to support spectrum management dynamically. To sense the spectrum is very important & main issue in dynamic spectrum management. There are many spectrum sensing techniques presented in numerous literature's. Here in this paper the comparative st udy of different spectrum sensing techniques based on eigenvalue are presented. The Maximum Minimum Eigenvalue Detection, Energy Detection, Mean Eigenvalue Detection and Generalized Likelihood Ratio Test are considered for the evaluation. The simulation results are elaborated with respect to the performance measurement matrices like Probability of detection, Probability of false detection and Probabilit y of missed detection. Closed form analysis of equation derived and from that it is considered that Maximum Minimum eigenvalue gives better performance and can be useful for spectrum sensing f or dynamic spectrum management perspective
  • 关键词:Eigenvalue detection; Energy detection; Dynamic spectrum management
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