• DocumentCode
    153751
  • Title

    DOA Estimation Method using R Matrix of the QR Factorized Data and its Prototype Implementation on NI-PXI Platform

  • Author

    Tayem, N. ; Omer, M. ; Hussain, A. Abul

  • Author_Institution
    Dept. of Electr. Eng., Prince Mohammad Bin Fahd Univ. Al-Khobar, Al-Khobar, Saudi Arabia
  • fYear
    2014
  • fDate
    6-8 Oct. 2014
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    In this paper, we present a novel direction of arrival (DOA) estimation method for multiple incident RF sources. The proposed method finds the information about the signal and noise subspaces from the R matrix of the QR factorized received data matrix. The angle of the signal arrival is estimated from the signal subspace using similar approach as employed by the conventional MUSIC algorithm. The simulation results are shown which verify the accuracy of the proposed method in estimating the DOA of a single and two RF sources. A prototype implementation of the proposed method on National Instruments (NI) hardware and Lab VIEW software is also presented. The experiments are conducted for the DOA estimation of two RF sources lying at arbitrary angles from the array reference. The experimental results verify successful real time implementation of the proposed DOA estimation method.
  • Keywords
    direction-of-arrival estimation; matrix decomposition; peripheral interfaces; signal classification; virtual instrumentation; DOA estimation method; Lab VIEW software; MUSIC algorithm; NI-PXI platform; National Instruments hardware; QR factorized received data matrix; R matrix; multiple incident RF sources; noise subspaces; signal subspaces; Arrays; Direction-of-arrival estimation; Estimation; Hardware; Multiple signal classification; Null space; Radio frequency; ESPRIT; LabVIEW; MUSIC; NI-PXI; QR factorization; direction of arrival; total least square;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference (MILCOM), 2014 IEEE
  • Conference_Location
    Baltimore, MD
  • Type

    conf

  • DOI
    10.1109/MILCOM.2014.60
  • Filename
    6956781