• DocumentCode
    2819113
  • Title

    Self-Calibration Algorithm for the Amplitude and Phase Error of the Multiple Beam Antenna

  • Author

    Wang, Jian ; Song, Yinghui

  • Author_Institution
    Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    When we use the multiple beam antenna to estimate the direction of arrival (DOA) by using the multiple signal classification (MUSIC) algorithm, the uncertainty element´s amplitude and phase will effect the DOA estimation performance of the beam antenna. So a universal technique for self-calibration based on the minimize cost function is introduced. By minimize the cost function it can get the array covariance matrix and compensate the array uncertainty without estimation. Therefore, the proposed method is advantage over the source calibration algorithm that resorts to computing the sample minimize cost function. The performance of the proposed method is demonstrated by using the actual parameter of multiple beam antenna, and the computer simulations show that the proposed method provide comparable performance that can not only self-calibrate its sensitivity to the array uncertainty with reduce complexity compute with resource, but also further increase its precision.
  • Keywords
    antennas; calibration; covariance matrices; direction-of-arrival estimation; signal classification; DOA estimation; MUSIC algorithm; amplitude error; array covariance matrix; direction of arrival estimation; multiple beam antenna; multiple signal classification algorithm; phase error; self-calibration algorithm; source calibration algorithm; Amplitude estimation; Calibration; Classification algorithms; Cost function; Covariance matrix; Direction of arrival estimation; Directional antennas; Multiple signal classification; Phase estimation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363465
  • Filename
    5363465