Paper Title:
A Robust Spectrum Sensing Method Using Filter Bank
  Abstract

Robust spectrum sensing is one of the essential issues for building and commercializing the cognitive radio system. With the challenging wireless environment, a reliable and computation feasible real-time spectrum sensing method using filter bank has been proposed in this letter. Extended Gaussian Function and Fast Fourier Transform are effectively combined together to implement a non-parameter and thus robust spectrum sensing. Numerical results are provided to compare the performance of the proposed method with that of the existing spectrum sensing.

  Info
Periodical
Edited by
Qi Luo
Pages
54-59
DOI
10.4028/www.scientific.net/AMM.58-60.54
Citation
D. F. Zhao, X. Ma, X. W. Zhou, "A Robust Spectrum Sensing Method Using Filter Bank", Applied Mechanics and Materials, Vols. 58-60, pp. 54-59, 2011
Online since
June 2011
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