A Robust Spectrum Sensing Method Using Filter Bank

Abstract:

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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 et al., "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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Price:

$35.00

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