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  • 标题:Sensing of Wideband Spectrum Channels by Sub Sampling Rate Subspace Estimator
  • 本地全文:下载
  • 作者:Sushmita Singh ; N. S. Beniwal
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:10
  • 页码:18503
  • DOI:10.15680/IJIRSET.2016.0510055
  • 出版社:S&S Publications
  • 摘要:The work will focus the area of spectrum sensing methodology used in cognitive radio. The mainchallenge in the spectrum sensing is the need of a very high sampling rate for sensing the wideband signal. Hence awideband spectrum sensing model will be developed using MATLAB software based programming environment. Thealgorithm will utilize a sub sampling scheme that can help in reducing the requirement of very high sampling rateduring wideband spectrum sensing. For this purpose a finite number of noisy samples will be generated initially and thecorrelation of these finite samples will be evaluated and to find out the occupied and vacant channels of the spectrum,we use subspace estimation algorithm.
  • 关键词:Cognitive Radio; Sub Nyquist Sampling; Primary User; Secondary User; Multicoset Sampling.
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