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  • 标题:Performance Analysis of Maximum Eigen Value and Energy Detection Techniques
  • 本地全文:下载
  • 作者:Aayushee kasera ; Aparna singh kushwah
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2019
  • 卷号:7
  • 期号:8
  • 页码:3700-3707
  • DOI:10.15680/IJIRCCE.2019. 0708007
  • 出版社:S&S Publications
  • 摘要:The main motive to design this implementation to analysis Cognitive Radio technology (CR) is spectrum sensing. The characteristic of this spectrum sensing the electromagnetic atmosphere to settle in their operation for better radio operating parameters. One of the challenges for CR is to detect the primary users present over the spectrum. That presents the Maximum Eigen value Based energy detection and .Also highlighted the effect of different parameters like number of samples, signal to noise ratio in addition apply comparison between the two methods using the simulation technique. In this paper describe spectrums sensing technique but the main work is carried for energy detection methods. Energy detection technique is implemented using MATLAB simulation and the obtained results are plotted using MATLAB simulation The performance of these two methods is evaluated in terms of their Receiver Operating Characteristics (ROC curves) and their detection probability for different values of Signal to Noise Ratio (SNR) and of smoothing factor L. OR rule and rule majority rule also discussed.
  • 关键词:Energy Detection; Maximum Eigen Value ; CR; OR Rule; AND Rule; Majority Rule
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