KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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A CORDIC-Jacobi Based Spectrum Sensing Algorithm For Cognitive Radio

  • Tan, Xiaobo (Institute of Communication Engineering, PLA University of Science and Technology Nanjing) ;
  • Zhang, Hang (Institute of Communication Engineering, PLA University of Science and Technology Nanjing)
  • Received : 2012.05.06
  • Accepted : 2012.08.16
  • Published : 2012.09.30
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Abstract

Reliable spectrum sensing algorithm is a fundamental component in cognitive radio. In this paper, a non-cooperative spectrum sensing algorithm which needs only one cognitive radio node named CORDIC (Coordinate Rotation Digital Computer) Jacobi based method is proposed. The algorithm computes the eigenvalues of the sampled covariance of received signal mainly by shift and additional operations, which is suitable for hardware implementation. Based the latest random matrix theory (RMT) about the distribution of the limiting maximum and minimum eigenvalue ratio, the relationship between the probability of false alarm and the decision threshold is derived. Simulations and discussions show the method is effective. Real captured digital television (DTV) signals and Universal Software Radio Peripheral (USRP) are also employed to evaluate the performance of the algorithm, which prove the proposed algorithm can be applied in practical spectrum sensing applications.

Keywords

References

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