• DocumentCode
    2640804
  • Title

    A computationally efficient method for joint direction finding and frequency estimation in colored noise

  • Author

    Viberg, Mats ; Stoica, Petre

  • Author_Institution
    Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    2
  • fYear
    1998
  • fDate
    1-4 Nov. 1998
  • Firstpage
    1547
  • Abstract
    The problem of simultaneously estimating the temporal and spatial frequencies of multiple signals arriving at an antenna array is considered. The problem is relevant in a variety of applications, including pulsed Doppler radar, multipath parameter estimation and synthetic aperture radar imaging. The proposed approach has a wider applicability than existing schemes. In particular it accommodates the case of (1) arbitrary array structures, (2) temporally and spatially colored noise, and (3) general single-pole ARMA signals. Despite the generality of this approach, the computational complexity is comparatively small. The temporal signal model (e.g. frequencies) is first estimated using a state-space realization approach. The arrival angles are then found one-by-one using 1-D searches. The resulting estimates are automatically paired.
  • Keywords
    Doppler radar; antenna arrays; array signal processing; autoregressive moving average processes; computational complexity; direction-of-arrival estimation; frequency estimation; radar imaging; synthetic aperture radar; 1D searches; 2D frequency estimation; DOA; antenna array; arbitrary array structures; arrival angles; colored noise; computational complexity; computationally efficient method; direction finding; multipath parameter estimation; pulsed Doppler radar; single-pole ARMA signals; spatial frequency estimation; state-space realization; synthetic aperture radar imaging; temporal frequency estimation; temporal signal model; Antenna arrays; Colored noise; Computational complexity; Direction of arrival estimation; Directive antennas; Doppler radar; Frequency estimation; Parameter estimation; Radar polarimetry; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5148-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.1998.751586
  • Filename
    751586