• DocumentCode
    1644300
  • Title

    DOA Estimation in Mechanical Scanning Radar Systems Using Sparse Signal Reconstruction Methods

  • Author

    Zhang, Shenglan ; Wan, Qun ; Wang, Hui

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This work deals with the direction of arrival (DOA) estimation of multiple radar targets present in the mainlobe of a rotating antenna using sparse signal reconstruction methods. We exploit knowledge of the antenna main beam pattern and the fact that the antenna mechanical scanning impresses an amplitude modulation on the signals backscattered by the targets. Having studied Basis Pursuit (BP) and traditional Orthogonal Matching Pursuit (OMP) algorithm, an improved approach named Sensing Orthogonal Matching Pursuit (Sensing OMP) is proposed which utilizes a sensing dictionary to alleviate the effect of inter-atom interference in highly coherent dictionary. The performance of the DOA estimator is investigated through Monte Carlo simulations.
  • Keywords
    Monte Carlo methods; amplitude modulation; backscatter; direction-of-arrival estimation; interference suppression; iterative methods; radar antennas; radar signal processing; signal reconstruction; time-frequency analysis; BP algorithm; DOA estimation; Monte Carlo simulation; OMP algorithm; amplitude modulation; antenna main beam pattern; antenna mechanical scanning radar system; basis pursuit algorithm; direction of arrival estimation; interatom interference; multiple radar target; orthogonal matching pursuit algorithm; rotating mainlobe antenna; sensing OMP; sensing orthogonal matching pursuit; signal backscattering; sparse signal reconstruction method; Dictionaries; Direction of arrival estimation; Estimation; Matching pursuit algorithms; Radar; Radar antennas; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6040132
  • Filename
    6040132