• DocumentCode
    2213511
  • Title

    Space-Time Matrix Method for Joint Frequency and 2-D DOA Estimation

  • Author

    Du, Ruiyan ; Wang, Jinkuan ; Liu, Fulai

  • Author_Institution
    Eng. Optimization & Smart Antenna Inst., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    671
  • Lastpage
    674
  • Abstract
    High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this paper, we consider the joint frequency and 2-D DOA estimation problem. We define a novel space-time matrix which includes the information of incident frequencies and 2-D DOAs. The joint frequency and 2-D DOA estimation method used the defined space-time matrix is named as space-time matrix method. Making using of the proposed method, the frequencies and incident 2-D DOAs can be estimated by the eigenvalues and corresponding eigenvectors of the defined space-time matrix, respectively. So, the presented method can automatically determined the paring of the estimated frequencies and 2-D DOA by the relationship between eigenvalues and eigenvectors. Compared with the previous work, the space-time matrix method can provide better performance with substantially reduced computational complexity. The performances of some relevant algorithms are compared via simulations, and the effectiveness of the proposed method is verified.
  • Keywords
    computational complexity; direction-of-arrival estimation; eigenvalues and eigenfunctions; frequency estimation; 2D DOA estimation; computational complexity; eigenvalues; eigenvectors; frequency estimation; multiple signal parameters; parameter estimation; space-time matrix method; Computational complexity; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Frequency estimation; Intelligent transportation systems; Matrix decomposition; Parameter estimation; Two dimensional displays; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1079
  • Filename
    5454765