吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (3): 923-928.doi: 10.13229/j.cnki.jdxbgxb201603037

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Standard normalized correlation-based MUSIC method for harmonic signal frequency estimation in α Noise

SHI Yi-ran1, 2, ZHAO Xiao-hui1, LI Xin-bo1, SHI Yao-wu3   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.Cahngchun Meteorological Instrument Research Institute, Changchun 130012, China;
    3.College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
  • Received:2016-01-14 Online:2016-06-20 Published:2016-06-20

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Abstract: A standard normalized correlation-based MUSIC method is developed for harmonic signal frequency estimation in α noise. First, as there is no finite variance in the α noise, the domain of the standard normalized correlation function is extended, and the α noise is suppressed by this function. Based on these, the MUSIC method for harmonic signal frequency estimation is proposed using the orthogonality between the harmonic signal frequency and the noise subspace. Compared with the fractional lower order classification method, the standard normalized correlation function is a linear operator, which greatly simplifies the calculation and analysis of the α stable distributed signal processing.

Key words: signal processing, stable distribution, harmonic recovery, standard normalized correlation function

CLC Number: 

  • TN911.23
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