• DocumentCode
    1785480
  • Title

    An improved array design for W-CMSR DOA estimation by Simulated Annealing

  • Author

    Verma, A. ; Santosh, Sandeep

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Kurukshetra, India
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Direction-of-Arrival (DOA) estimation is an important problem. Many algorithms have been proposed to estimate the DOA. Wideband Covariance Matrix Sparse Representation (W-CMSR) is one of such method. W-CMSR has a certain advantage over other wideband direction-of-arrival estimation methods that it does not require any spectral decomposition of the wideband signals into the narrowband signals. Also W-CMSR does not require any initial information about the number of signal sources. This paper optimize the parameters of array design namely number of sensors and aperture size by the method named Simulated Annealing. This paper further shows that the optimization of array design by Simulated Annealing have better computational complexity compared to method where all the possible design are taken.
  • Keywords
    covariance matrices; direction-of-arrival estimation; simulated annealing; sparse matrices; W-CMSR DOA estimation; computational complexity; direction-of-arrival estimation; improved array design; optimization; simulated annealing; wideband covariance matrix sparse representation; wideband direction-of-arrival estimation methods; Algorithm design and analysis; Apertures; Direction-of-arrival estimation; Sensor arrays; Simulated annealing; DOA Estimation; Simulated Annealing; W-CMSR; Wideband Signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Systems (SCES), 2014 Students Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4799-4940-3
  • Type

    conf

  • DOI
    10.1109/SCES.2014.6880109
  • Filename
    6880109