• DocumentCode
    1925872
  • Title

    Array Calibration Based on Improved Instrumental Sensors Method

  • Author

    Dai, Zeyang ; Wang, Xu ; Liu, Jian

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
  • fYear
    2011
  • fDate
    18-20 April 2011
  • Firstpage
    424
  • Lastpage
    428
  • Abstract
    Instrumental Sensors Method (ISM) is an effective algorithm for joint estimation of signal Direction-of-Arrival(DOA) and direction-dependent array errors. However, this algorithm has some disadvantages, such as high computation complexity. In this paper, we propose an enhanced algorithm based on the basic ISM, in which there are two improvements to reduce the computation complexity. First, the improved algorithm combines least square method (LSM) with ISM to estimate signal DOA and direction-dependent array errors. Second, the improved algorithm simplifies matrix calculation when instrumental sensors are just one more than input signals. These two improvements can effectively estimate the signal´s DOA and direction-dependent array errors. The proposed algorithm has the same performance comparing with the basic ISM algorithm, but with the lower computation complexity. The simulation results show that the enhanced algorithm is effective, and it is convenient for the practice.
  • Keywords
    array signal processing; direction-of-arrival estimation; least mean squares methods; matrix algebra; ISM; array calibration; direction-dependent array error; direction-of-arrival estimation; instrumental sensor method; least square method; matrix calculation; signal DOA estimation; Complexity theory; Direction of arrival estimation; Estimation; Sensor arrays; Simulation; Array calibration; Array error; DOA estimation; Instrumental Sensors Method; Least Square Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing (CMC), 2011 Third International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-61284-312-4
  • Type

    conf

  • DOI
    10.1109/CMC.2011.24
  • Filename
    5931265