• DocumentCode
    2059925
  • Title

    A wideband circular array for frequency and 2D angle estimation

  • Author

    Weber, Raymond J. ; Huang, Yikun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA
  • fYear
    2010
  • fDate
    6-13 March 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a novel method for joint frequency and 2D angle estimation of incoming signals upon a circular array over a very wide frequency band (2-18 GHz). A temporal domain ESPRIT frequency estimation algorithm was extended for azimuth and elevation angles estimation. These direction estimation results are automatically paired with frequency. The algorithm provides non-ambiguous, high resolution and accuracy in both frequency and direction of arrival estimation over the frequency range. The DOA estimation resolution was analyzed for two signals with different frequency. The estimation accuracy vs. signal to noise ratio (SNR) and array element number were studied. The frequency estimation accuracy was compared with the standard FFT method. The DOA estimation accuracy and resolution were compared with the original MUltiple SIgnal Classification (MUSIC) DOA estimation results. The proposed technique can be used for wireless communication applications and wireless sensor networks and it can also be used for RF emitter detection and tracking. The system is consistent with the Air Force´s layered sensing architecture concept.
  • Keywords
    direction-of-arrival estimation; frequency estimation; 2D angle estimation; RF emitter detection; RF emitter tracking; azimuth angles estimation; direction of arrival estimation; elevation angles estimation; frequency 2 GHz to 18 GHz; joint frequency estimation; layered sensing architecture concept; signal to noise ratio; temporal domain ESPRIT frequency estimation algorithm; wideband circular array; wireless communication; wireless sensor network; Azimuth; Direction of arrival estimation; Frequency estimation; Multiple signal classification; Signal analysis; Signal resolution; Signal to noise ratio; Wideband; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2010 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-3887-7
  • Electronic_ISBN
    1095-323X
  • Type

    conf

  • DOI
    10.1109/AERO.2010.5446688
  • Filename
    5446688