• DocumentCode
    1891789
  • Title

    Space-time matrix method for joint angle and frequency estimation

  • Author

    Du, Ruiyan ; Wang, Jinkuan ; Liu, Fulai

  • Author_Institution
    Eng. Optimization & Smart Antenna Inst., Northeastern Univ. at Qinhuangdao, Qinhuangdao
  • fYear
    2008
  • fDate
    10-12 Nov. 2008
  • Firstpage
    458
  • Lastpage
    461
  • Abstract
    High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this paper, we consider the joint angle and frequency estimation (JAFE) problem. We define a novel space-time matrix which includes the information of incident angles and frequencies. The joint angle and frequency 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 angles 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 angles and frequencies 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; frequency estimation; matrix algebra; parameter estimation; space-time adaptive processing; angle estimation; computational complexity; eigenvalues; eigenvectors; frequency estimation; high-resolution parameter estimation techniques; incident angles; space-time matrix method; Computational complexity; Data models; Directive antennas; Eigenvalues and eigenfunctions; Frequency estimation; Matrix decomposition; Multiple signal classification; Parameter estimation; Receiving antennas; State feedback; eigenvalue decomposition; joint angle-frequency estimation; space-time matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2250-0
  • Electronic_ISBN
    978-1-4244-2251-7
  • Type

    conf

  • DOI
    10.1109/ICCT.2008.4716292
  • Filename
    4716292