吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1474-1480.doi: 10.7964/jdxbgxb201405040

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Passive localization for mixed far-field and near-field cyclostationary sources

YAN Xue-zhi,CHEN Lei,LIU Guo-hong,LIU Yan-yan   

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2013-08-01 Online:2014-09-01 Published:2014-09-01

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Abstract:

Based on the symmetric Uniform Linear Array (ULA) and the second-order cyclic statistic, an efficient algorithm is proposed to deal with the localization of the mixed far-field and near-field cyclostationary sources. First, by exploiting the symmetric property of the divided subarrays, a rotational matrix is constructed, in which only the Direction-of-Arrival (DOA) information is contained. Then, the DOA estimations for both far-field and near-field sources are performed from a spectral search procedure. Finally, by substituting the obtained azimuth back into the two-dimensional MUSIC spectral function, the range estimations for the near-field sources is performed. Compared with previous works, the proposed algorithm saves computation cost, provides high estimation accuracy, and requires neither two-dimensional search nor parameter-pairing procedure. Computer simulations confirm the feasibility of the proposed algorithm.

Key words: communication technology, array signal processing, far-field source localization, near-field source localization, cyclostationary sources

CLC Number: 

  • TN911.7
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