• DocumentCode
    1797217
  • Title

    A DOA and polarization estimation method using a spatially non-collocated vector sensor array

  • Author

    Fang Liu ; Huiyong Li ; Wei Xia ; Yikai Wang

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    9-13 July 2014
  • Firstpage
    763
  • Lastpage
    767
  • Abstract
    To reduce the mutual coupling across the collocated sensor, a distributed array geometry composed of crossed dipole pair is introduced in this paper. Based on the non-collocated vector sensor array, an ESPRIT-based method is newly proposed to estimate the direction of arrival (DOA) and polarization parameter. Due to the special structure of non-collocated array, the DOA and polarization parameter are paired automatically, and thus the computational complexity is greatly reduced. The Cramer-Rao Lower Bound (CRLB) has been derived and the performance of DOA and polarization estimation for the distributed array is also analyzed. Simulation results verify the effective parameter estimation performance of the proposed method by using a spatially non-collocated array.
  • Keywords
    array signal processing; computational complexity; direction-of-arrival estimation; parameter estimation; CRLB; Cramer-Rao lower bound; DOA estimation method; ESPRIT-based method; computational complexity; crossed dipole pair; direction-of-arrival estimation; distributed array geometry; effective parameter estimation performance; mutual coupling reduction; polarization estimation method; polarization parameter estimation; spatially-noncollocated vector sensor array; Arrays; Direction-of-arrival estimation; Estimation; Mutual coupling; Signal to noise ratio; Vectors; CRLB; DOA; mutual coupling; non-collocated vector sensor array; polarization estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-5401-8
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2014.6889347
  • Filename
    6889347