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

被引:0
|
作者
Shi Y.-R. [1 ,2 ]
Zhao X.-H. [1 ]
Shan Z.-B. [1 ]
Shi Y.-W. [3 ]
机构
[1] College of Communication Engineering, Jilin University, Changchun
[2] Changchun Meteorological Instrument Research Institute, Changchun
[3] College of Biological and Agricultural Engineering, Jilin University, Changchun
关键词
Communications; Direction of arrival(DOA); Minimum norm; Polarization array; Polarization parameter; Stable distribution;
D O I
10.13229/j.cnki.jdxbgxb201604040
中图分类号
学科分类号
摘要
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. © 2016, Editorial Board of Jilin University. All right reserved.
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页码:1297 / 1303
页数:6
相关论文
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