›› 2012, Vol. 42 ›› Issue (04): 1015-1020.

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Distributed compressive wideband spectrum sensing based on generalized power spectrum density

ZHAO Chun-hui, TENG Zhi-jun, MA Shuang   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2011-04-23 Online:2012-07-01 Published:2012-07-01

Abstract: In order to achieve wideband spectrum sensing under Alpha stable noise, generalized power spectrum density is proposed, based on which the distributed compressive wideband spectrum sensing is put forward. This method can effectively restrain the Alpha stable noise. First, the received wideband signal is processed by fractional lower order, then, the autocorrelation vectors are calculated. Combined with the compressed sensing theory, the fractional generalized power spectrum density is derived by Fourier transform. Simulation results show that the method performs well in the estimation of the wideband power spectrum density, and can achieve wideband spectrum sensing under Alpha stable noise.

Key words: communication, wideband spectrum sensing, generalized power spectrum density, Alpha stable noise, fractional lower order autocorrelation, compressive sensing

CLC Number: 

  • TN929.52
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