• DocumentCode
    3047686
  • Title

    The FPSO-DML algorithm for 1-DOA estimation of wideband signals

  • Author

    Yang, Jing-wen ; Wang, Jin-long ; Xu, Yi-tao ; Ma, Xu ; Pang, Xing-hao

  • Author_Institution
    Unit 68304, PLA, Lintong, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The 1-DOA estimation algorithm is used to estimate azimuth of signals. DML (Determined Maximum Likelihood) is a kind of algorithm for parameter estimation of determined narrowband signals, which theoretically has advantages of high precise as well as high suppression to strong noise and coherent signals. However, there are problems of high computation complexity and local convergence. Therefore, the algorithm named FPSO-DML (Fission Particle Swarm Optimization-DML) is put forward in this paper, which could get accurately global optimum root of DML function at a cost of low computation. Then, the wideband signal is decomposed into narrowband signal at different frequency by FFB, which is used to estimate 1-DOA by FPSO-DML algorithm. Simulations prove that the RMSE curve of proposed algorithm approach CRB of DML algorithm, and having strong ability of tolerating coherent wideband signals.
  • Keywords
    direction-of-arrival estimation; maximum likelihood estimation; mean square error methods; particle swarm optimisation; 1-DOA estimation; CRB algorithm; FPSO-DML algorithm; RMSE curve; coherent signals; computation complexity; determined maximum likelihood; fission particle swarm optimization; narrowband signals; noise suppression; parameter estimation; wideband signals; Azimuth; Estimation; Multiple signal classification; Narrowband; Particle swarm optimization; Signal processing algorithms; Wideband; DML; DOA; FFB; PSO; wideband signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-1-4244-7556-8
  • Electronic_ISBN
    978-1-4244-7554-4
  • Type

    conf

  • DOI
    10.1109/WCSP.2010.5633502
  • Filename
    5633502