• DocumentCode
    1972741
  • Title

    DOA estimation algorithm of MIMO system

  • Author

    Renda Lei ; Jinpeng Wang ; Hu Li ; Zhisen Wang

  • Author_Institution
    R&D Inst. of Integrated Meas. & Control, Dalian Polytech. Univ., Dalian, China
  • fYear
    2011
  • fDate
    14-16 Oct. 2011
  • Firstpage
    150
  • Lastpage
    154
  • Abstract
    In this paper, we propose a method of direction of arrival (DOA) estimation which is called complex spatial specturm method (CSM). Advantages and disadvantages of the multiple signal classification (MUSIC) algorithm and the Reciprocal Weighted of Signal subspace principal eigenvalue Projection (RWSP) algorithm are discussed in the paper. By combing the advantages of two algorithms, the information of signal subspace and noise subspace are used in CSM. The feasibility of CSM which uses spatial spectrum estimation is proved theoretically. Simulation results indicate that the CSM is a high resolution and robustness algorithm for resolving multiple incoherent and coherent signals that are incident on an array of antenna.
  • Keywords
    MIMO communication; antenna arrays; direction-of-arrival estimation; eigenvalues and eigenfunctions; signal classification; DOA estimation; MIMO system; MUSIC algorithm; antenna array; coherent signals; complex spatial specturm method; direction of arrival estimation; multiple incoherent signal; multiple signal classification; noise subspace; reciprocal weight; signal subspace principal eigenvalue projection; spatial spectrum estimation; CSM; DOA; robustness; spatial spectrum; subspace projection;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Communication Technology and Application (ICCTA 2011), IET International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1049/cp.2011.0649
  • Filename
    6192845