• DocumentCode
    3710138
  • Title

    Relationship between direction of arrival estimation with MUSIC algorithm and number of array elements

  • Author

    Prabesh Paudel;Joo-Seong Oh;Jong-sang Back;Min A Jeong;Seong Ro Lee

  • Author_Institution
    Department of Electronic Engineering Mokpo, National University, Mokpo, South Korea
  • fYear
    2015
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    Direction of arrival (DOA) estimation has been a vital area of research since few decades due to its importance in applications like wireless communication, navigation radar, sonar etc. The resolution being one of the main challenges in the direction of arrival estimation can be enhanced by array antenna system with reliable signal processing. In this paper we simulate the high resolution subspace based DOA algorithm called Multiple Signal Classification (MUSIC) on a uniform linear array in the presence of ideal white Gaussian noise. This paper provides the relation between DOA estimation and number of array elements using MUSIC algorithm. MUSIA methods give more accurate and smooth resolution of the signals.
  • Keywords
    "Arrays","Direction-of-arrival estimation","Multiple signal classification","Estimation","Covariance matrices","Eigenvalues and eigenfunctions","Classification algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Convergence (ICTC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICTC.2015.7354485
  • Filename
    7354485