• DocumentCode
    3385932
  • Title

    Joint angle-frequency estimation based on WSF using Artificial Bee Colony algorithm

  • Author

    Zhicheng Zhang ; Jun Lin ; Yaowu Shi

  • Author_Institution
    Coll. of Commun. Eng., Jilin Univ., Changchun, China
  • fYear
    2013
  • fDate
    23-25 March 2013
  • Firstpage
    1312
  • Lastpage
    1315
  • Abstract
    In this paper, the Weighted Subspace Fitting (WSF) method using Artificial Bee Colony (ABC) algorithm is applied to the problem of estimating the direction-of-arrival (DOA) and the Doppler frequency of multiple signal sources impinging on an antenna array simultaneously. The extended observability matrix containing the angle and frequency parameters is established using state-space model. The WSF method is used to estimate the parameters accurately and convert the problem from parameter estimation to a nonlinear multidimensional function optimization. Then artificial bee colony algorithm is applied to optimize the function and estimate the DOA and Doppler frequency. The proposed method reserves the asymptotic unbiased estimation of the WSF method and reduces the computational burden of calculating the solution. Besides, the estimated parameters can be paired automatically.
  • Keywords
    antenna arrays; direction-of-arrival estimation; frequency estimation; matrix algebra; optimisation; ABC algorithm; DOA estimation; Doppler frequency; WSF; antenna array; artificial bee colony algorithm; direction-of-arrival estimation; extended observability matrix; joint angle-frequency estimation; nonlinear multidimensional function optimization; state-space model; weighted subspace fitting method; Arrays; Direction-of-arrival estimation; Doppler effect; Estimation; Frequency estimation; Joints; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2013 International Conference on
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4673-5137-9
  • Type

    conf

  • DOI
    10.1109/ICIST.2013.6747779
  • Filename
    6747779