A Novel Spectrum Sensing Algorithm in Cognitive Radio System Based on OFDM

  • Liu Yun
  • Qicong Peng
  • Fuchun Sun
  • Huaizong Shao
  • Xingfeng Chen
  • Ling Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)


In cognitive radio (CR) networks, spectrum sensing which attracts a lot of interest is a significant task. Aiming at the problem that conventional spectrum sensing technique is usually focused on signal band. This paper introduces a multi-band joint spectrum detection based on multiple signal classification (MUSIC) algorithm for orthogonal frequency division multiplexing (OFDM) cognitive ratio system. The proposed eigenvalue-construct method only uses signal autocorrelation of OFDM symbols and simple sorting to achieve the spectrum detection. The computer simulations show that the proposed approach has a good performance compared with the conventional energy sensing method which uses the same threshold over multiple frequency bands.


Cognitive radio Multiple signal classification Orthogonal frequency division multiplexing Spectrum sensing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Liu Yun
    • 1
  • Qicong Peng
    • 1
  • Fuchun Sun
    • 2
  • Huaizong Shao
    • 1
  • Xingfeng Chen
    • 3
  • Ling Wang
    • 1
  1. 1.School of Communication and Technology EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina
  2. 2.State Key Lab of Intelligent Technology and Systems, Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  3. 3.State Key Laboratory of Remote Sensing ScienceInstitute of Remote Sensing Applications, CASBeijingChina

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