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  • 标题:An Improved Cyclic Feature Spectrum Detection Algorithm in CR Systems
  • 本地全文:下载
  • 作者:Guicai Yu ; Chengzhi Long ; Mantian Xiang
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2015
  • 卷号:9
  • 期号:8
  • 页码:175-186
  • DOI:10.14257/ijsia.2015.9.8.14
  • 出版社:SERSC
  • 摘要:Accurate detection performance of spectrum sensing will obviously affect the communication quality of licensed users and secondly users. Robust spectrum sensing algorithm can reduce interfere to primary users. This paper presents a new OFDM cyclic spectrum sensing scheme which based on overlay parts sub-carriers to original OFDM signals. In this paper, the parts sub-carriers come from original OFDM cyclic feature signals. Simulation and numerical results show that new method has a high success rate of sensing and a shorten detection time. Moreover, computational complexity is almost no change. Algorithm improved detection performance obviously and enhanced the effectiveness of anti-noise uncertainty and improved the robustness of detecting weak signal. Algorithm meets the spectrum sensing technology requirements of low SNR environment.
  • 关键词:Cognitive radio; spectrum sensing; OFDM signals cyclic feature; cyclic ; spectrum
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