• DocumentCode
    2700782
  • Title

    Array shape calibration using carry-on instrumental sensors

  • Author

    Bu-hong, Wang ; Yong-liang, Wang ; Hui, Chen

  • Author_Institution
    Key Res. Lab., Radar Acad., Wuhan, China
  • fYear
    2003
  • fDate
    3-5 Sept. 2003
  • Firstpage
    636
  • Lastpage
    639
  • Abstract
    A novel and efficient method for calibrating a sensor array with position uncertainties is proposed in this paper. The method is based on two non-disjoint sources in unknown directions and three carry-on instrumental sensors. It can be applied to arbitrary array geometries including linear arrays. Besides, no small position error assumption is made, which is always an essential prerequisite for many existing array shape calibration techniques. The new method achieves a favorable array shape calibration just using a one-dimensional search, with no high-dimensional nonlinear search and convergence burden involved. It is also possible to extend the proposed idea to tackle the problem of direction dependent gain and phase uncertainties. Simulation results are provided to demonstrate the effectiveness and behavior of the proposed method.
  • Keywords
    array signal processing; calibration; covariance matrices; direction-of-arrival estimation; matrix decomposition; arbitrary array geometries; array shape calibration; carry-on instrumental sensors; covariance matrix; direction dependent gain uncertainties; direction finding algorithms; eigendecomposition; ideal steering vector; linear arrays; one-dimensional search; phase uncertainties; position uncertainties; sensor array; uncorrelated Gaussian random processes; Calibration; Convergence; Geometry; Instruments; Multiple signal classification; Phased arrays; Radar; Sensor arrays; Shape; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2003. Proceedings of the International
  • Print_ISBN
    0-7803-7870-9
  • Type

    conf

  • DOI
    10.1109/RADAR.2003.1278816
  • Filename
    1278816