• DocumentCode
    178587
  • Title

    Joint angle and frequency estimation using structured least squares

  • Author

    Cheng Qian ; Lei Huang ; Yunmei Shi ; So, Hing Cheung

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Harbin Inst. of Technol., Shenzhen, China
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    2972
  • Lastpage
    2976
  • Abstract
    A structured least squares based ESPRIT method is devised for joint direction-of-arrival and frequency estimation. By considering the errors in the estimated signal subspace and employing an iterative minimization procedure, the proposed approach is able to efficiently refine the estimated signal subspace, leading to significant enhancement in estimation performance. Simulation results demonstrate the effectiveness of the proposed approach.
  • Keywords
    direction-of-arrival estimation; frequency estimation; iterative methods; least squares approximations; minimisation; ESPRIT method; iterative minimization procedure; joint angle and frequency estimation; joint direction-of-arrival and frequency estimation; spatial-temporal radio channel measurement; structured least squares; Complexity theory; Direction-of-arrival estimation; Estimation; Frequency estimation; Joints; Signal processing algorithms; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854145
  • Filename
    6854145