Multistage wiener filter based spectrum sensing in cognitive radio

Kuo Ching Fu, Ming Jun Yang, Yung Fang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, a reduced-rank multistage Wiener filter based constant false alarm rate (CFAR) detector is applied for spectrum sensing in cognitive radio. Spectrum sensing is an essential component in cognitive radio. In order to enhance the performance of primary user signal detection under the multipath fading environment, a multiple antenna technique is employed at the secondary user. In addition, the general sidelode canceller (GSC) is utilized prior to the detection to suppress the effect of interference and noise. And then the adaptive matched filter (AMF) CFAR detector is employed for the secondary user. For the purpose of reduction in computational complexity and reliable performance, reduced-rank processing is a well-known technique under the condition of finite sample support in short sensing time. Numerical results show that the reduced-rank multistage Wiener filter based AMF CFAR detector outperforms the full-rank filter.

Original languageEnglish
Title of host publication2012 12th International Conference on ITS Telecommunications, ITST 2012
Pages700-705
Number of pages6
DOIs
StatePublished - 2012
Event2012 12th International Conference on ITS Telecommunications, ITST 2012 - Taipei, Taiwan
Duration: 5 Nov 20128 Nov 2012

Publication series

Name2012 12th International Conference on ITS Telecommunications, ITST 2012

Conference

Conference2012 12th International Conference on ITS Telecommunications, ITST 2012
Country/TerritoryTaiwan
CityTaipei
Period5/11/128/11/12

Keywords

  • Cognitive radio (CR)
  • multistage Wiener filter
  • spectrum sensing

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