• DocumentCode
    1763584
  • Title

    Geolocation by Direction of Arrival Using Arrays With Unknown Orientation

  • Author

    Jean, Oren ; Weiss, Anthony J.

  • Author_Institution
    Sch. of Electr. Eng., Tel Aviv Univ., Tel Aviv, Israel
  • Volume
    62
  • Issue
    12
  • fYear
    2014
  • fDate
    41805
  • Firstpage
    3135
  • Lastpage
    3142
  • Abstract
    It takes a great deal of care to accurately align direction of arrival (DOA) sensors to a reference direction. Any error in alignment degrades the localization accuracy of the entire system. We propose a method that enables the alignment using DOA measurements of arbitrary sources. This saves the efforts to set and maintain the alignment by external means. To simplify the exhibition, it is assumed that the sensors and the sources are confined to a plane. The method is based on the maximum-likelihood estimator. The main challenge is the discontinuities in the cost function due to the circular nature of angle measurements. The proposed method is verified by simulations, and the performance is compared to lower bounds and also to systems with perfect alignment.
  • Keywords
    direction-of-arrival estimation; maximum likelihood estimation; navigation; sensor arrays; DOA sensors; arrays; cost function; direction of arrival; geolocation; maximum-likelihood estimator; unknown orientation; Direction-of-arrival estimation; Magnetic sensors; Maximum likelihood estimation; Sensor arrays; Simulated annealing; Vectors; Cramér-Rao lower bound; Localization; angle of arrival; direction of arrival; maximum likelihood; simulated annealing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2014.2321109
  • Filename
    6808498