• DocumentCode
    2348932
  • Title

    Synthetic spatial spectrum DOA estimator for two closely spaced emitters

  • Author

    Hong, You ; Jianguo, Huang ; Jianfeng, Chen

  • Author_Institution
    Northwestern Polytech. Univ., Xian
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    2449
  • Lastpage
    2451
  • Abstract
    In this paper, we propose a new estimator of DOA called synthetic spatial spectrum method (SSM). The estimator is synthesized with signal subspace projection method and noise subspace projection method, which is classical MUSIC spatial-spectra algorithm. The signal subspace projection is weighted with reciprocal of principle eigenvalue. For two closely spaced emitters, the proposed SSM efficiently makes use of all information spread in eigenvalues and eigenvecters. So it provides better resolution and estimation performance in snapshot deficient and low SNR scenario than MUSIC algorithm. Computer simulation results show that the correctness and efficiency of the new method.
  • Keywords
    direction-of-arrival estimation; eigenvalues and eigenfunctions; signal classification; MUSIC spatial-spectra algorithm; SNR scenario; closely spaced emitters; eigenvecters; noise subspace projection method; principle eigenvalue; signal subspace projection method; snapshot deficient scenario; synthetic spatial spectrum DOA estimator; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Maximum likelihood estimation; Multiple signal classification; Projection algorithms; Sensor arrays; Signal processing algorithms; Signal resolution; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582957
  • Filename
    4582957