• DocumentCode
    3070558
  • Title

    A state space approach for the 2-D harmonic retrieval problem

  • Author

    Rao, D. V Bhaskar ; Kung, S.Y.

  • Author_Institution
    University of California, San Diego
  • Volume
    9
  • fYear
    1984
  • fDate
    30742
  • Firstpage
    174
  • Lastpage
    176
  • Abstract
    In this paper, a State Space approach to the 2-D harmonic retrieval problem is presented. Under certain assumptions, it is shown that the data and covariance matrices have finite rank and also possess a desirable algebraic structure. Then methods employing the Principal components algorithm are developed to estimate the state space parameters and the sinusoid parameters directly from the data and from the covariance information. Simulation results to support the methods are also provided.
  • Keywords
    Covariance matrix; Eigenvalues and eigenfunctions; Frequency; Parameter estimation; Radar; Robustness; Sonar; State estimation; State-space methods; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1984.1172376
  • Filename
    1172376
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3070558