• DocumentCode
    680868
  • Title

    A Distribution Fitting Approach for Localization of Multiple Scattered Sources with Very Large Arrays

  • Author

    Anzhong Hu ; Tiejun Lv

  • Author_Institution
    Key Lab. of Trustworthy Distrib. Comput. & Service, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    18-20 Nov. 2013
  • Firstpage
    453
  • Lastpage
    457
  • Abstract
    In this paper, a distribution fitting approach is proposed to estimate the angular parameters of multiple incoherently distributed sources with large antenna arrays. The estimator utilizes the approximate orthogonality of the array response vectors of large arrays to obtain a vector which is the superposition of the probability distributions of the direction-of-arrivals (DOAs) of the sources. Then, the angular parameters can be estimated by fitting distribution functions to this vector successively. Hence, the complexity of the proposed approach is much lower than that of other well-known estimators which require the fitting of a matrix. Analysis and numerical results show that the proposed estimator can achieve better performance than other estimators.
  • Keywords
    MIMO systems; antenna arrays; array signal processing; direction-of-arrival estimation; probability; DOA; angular parameter estimation; array response vectors; direction-of-arrivals; distribution fitting approach; multiple incoherently distributed sources; multiple scattered sources; probability distributions; very large antenna arrays; Antenna arrays; Complexity theory; Covariance matrices; Direction-of-arrival estimation; Estimation; Vectors; Large-scale/massive multiple-input multiple-output (LS-MIMO/massive MIMO); angular spread; direction-of-arrival (DOA); incoherently distributed (ID) sources; localization; very large arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, MILCOM 2013 - 2013 IEEE
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/MILCOM.2013.84
  • Filename
    6735664