• DocumentCode
    2956254
  • Title

    Signal-selective high-resolution direction finding in multipath

  • Author

    Schell, Stephan ; Gardner, William

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Davis, CA, USA
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    2667
  • Abstract
    An algorithm that combines the signal selectivity of cyclic MUSIC with the ability to function well in the presence of fully correlated multipath is presented. Analytical results and computer simulations are presented to support the claims, which include the ability to estimate directions of arrival of desired signals in the presence of multipath and arbitrary numbers of arbitrarily closely spaced interfering signals. Furthermore, the algorithm can estimate the number of spectrally correlated signals with any particular cycle frequency, and it implicitly obtains maximum signal-to-interference-plus-noise ratio (SINR) estimates of those signals
  • Keywords
    digital simulation; interference (signal); radio direction-finding; signal detection; SINR; closely spaced interfering signals; computer simulations; cycle frequency; cyclic MUSIC; directions of arrival; fully correlated multipath; high-resolution direction finding; signal selectivity; signal-to-interference-plus-noise ratio; Autocorrelation; Coherence; Computer science; Computer simulation; Direction of arrival estimation; Frequency estimation; Interference; Least squares approximation; Multiple signal classification; Narrowband; Sensor arrays; Signal analysis; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.116170
  • Filename
    116170