• DocumentCode
    1594188
  • Title

    Wideband Beam-Space DOA Estimation Based on Genetic Algorithm

  • Author

    Jin, Yong ; Huang, Jianguo ; Zhao, Jianjun

  • Author_Institution
    Henan Univ., Kaifeng
  • Volume
    3
  • fYear
    2007
  • Firstpage
    791
  • Lastpage
    798
  • Abstract
    Many of the DOA methods such as MUSIC, ESPRIT and ML are applicable only to narrowband signal sources. However, in many case, using information from multiple frequency bins in a wideband methods is necessary to achieve the processing gain needed to obtain good estimates. A beam-space genetic algorithm (BGA) is introduced for direction of arrival (DOA) estimation of wideband signals in this paper. By transforming array data to beam-space using frequency invariant beam forming matrix, the beam-space genetic algorithm is applied to estimate DOA of wideband signals. Simulation results show this proposed algorithm performs better than sub-space algorithm, maximum likelihood algorithm and element space genetic algorithm in low SNR ranges.
  • Keywords
    array signal processing; direction-of-arrival estimation; genetic algorithms; matrix algebra; array data; beam-space genetic algorithm; direction of arrival estimation; frequency bins; frequency invariant beam forming matrix; wideband signals; Broadband antennas; Direction of arrival estimation; Frequency estimation; Genetic algorithms; Linear antenna arrays; Maximum likelihood estimation; Multiple signal classification; Narrowband; Sensor arrays; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.814
  • Filename
    4344617