吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (4): 1297-1303.doi: 10.13229/j.cnki.jdxbgxb201604040

• Orginal Article • Previous Articles     Next Articles

FLOCC-SMN method for DOA polarization parameters estimation of linear polarization array in α and Gaussian noise

SHI Yi-ran1, 2, ZHAO Xiao-hui1, SHAN Ze-biao1, SHI Yao-wu3   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.Changchun Meteorological Instrument Research Institute, Changchun 130012, China;
    3.College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
  • Received:2016-01-22 Online:2016-07-20 Published:2016-07-20

Abstract: A fractional lower order cyclic correlation-based subspace minimum norm method was proposed for the joint estimation of Directions-of-arrival (DOA) and polarization parameters of linear polarization array under mixed noise of α and/or Gaussian noise. Considering the characteristics of α stable distribution and using the cycle stationarity of signals, the proposed method overcomes the disadvantages of the traditional second order moment or high order cumulant-based methods, which can not by used under α noise. Using the fractional lower order cyclic correlation method, the proposed method makes up for the lack of cycle stationary disturbance suppression of the traditional fractional lower order moment method. The subspace minimum norm method used in this paper can effectively reduce the computation of the traditional MUSIC method and suppress the estimation error of the fractional lower order cyclic correlation function. Simulation results show that the proposed method is superior to the fractional lower order moment-based method for the suppression of the cycle stationary disturbance and the mixed noise of and Gaussian noise.

Key words: communications, polarization array, stable distribution, minimum norm, polarization parameter, direction of arrival(DOA)

CLC Number: 

  • TN911.23
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