• DocumentCode
    303733
  • Title

    Optimal array processing for non-stationary signals

  • Author

    Chevalier, Pascal

  • Author_Institution
    Div. RGS, STS, Thomson-CSF, Gennevilliers, France
  • Volume
    5
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    2868
  • Abstract
    The optimal array filtering problem consists mainly of implementing a complex linear and time invariant (TI) filter, optimizing a second order criterion at the output, under some possible constraints and assuming stationary signals. This approach is optimal for stationary signals, but becomes sub-optimal for non-stationary signals for which the optimal complex filters an time variant (TV) and, under some conditions of non-circularity, widely linear (WL). The purpose of this paper is to demonstrate these results, to touch lightly on the implementation problems of TV filters, to give a sense to the classical approach for non-stationary signals and to show, on a particular example borrowed from the radiocommunications field, the interest of WL structures with respect to linear ones in non-stationary environments
  • Keywords
    array signal processing; filtering theory; optimal systems; spatial filters; stochastic processes; time-varying filters; non-circular signals; non-stationary signals; optimal array filtering problem; optimal array processing; optimal complex filters; time variant filters; widely linear filters; Array signal processing; Constraint optimization; Filtering; Finite impulse response filter; Nonlinear filters; Sensor arrays; Signal processing; Statistical analysis; TV; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.550152
  • Filename
    550152