• DocumentCode
    2585880
  • Title

    Exterior noise adaptive rejection for OTH radar implementations

  • Author

    Abramovich, Yu.I. ; Gorokhov, A.Yu. ; Mikhaylyukov, V.N. ; Malyavin, I.P.

  • Author_Institution
    Odessa State Polytech. Univ., Ukraine
  • fYear
    1994
  • fDate
    19-22 Apr 1994
  • Abstract
    A new class of nonstationary adaptive techniques is proposed to put up with clutter distortions originated from the current pattern readjustment, caused by the temporal perturbations of the jammer spatial covariance matrix. To introduce this approach we describe, by using the scalar-type vector-valued autoregressive model the inter-repetition sequence of the clutter-only antenna input snapshots vectors. Examples of joint jammer rejection and decontamination of F2 layer-propagated signals strongly perturbed by phase-path variations prove the efficiency of the proposed approach. The new adaptive processing algorithms yield an adequate approach for frequency management, oriented towards operational adaptive jammer rejection facilities
  • Keywords
    adaptive signal processing; autoregressive processes; covariance matrices; radar clutter; radar signal processing; F2 layer-propagated signals; OTH radar; adaptive jammer rejection; adaptive processing algorithms; antenna input snapshots vectors; autoregressive model; clutter distortions; frequency management; inter-repetition sequence; jammer decontamination; noise adaptive rejection; nonstationary adaptive techniques; phase-path variations; spatial covariance matrix; temporal perturbations; Adaptive arrays; Antennas and propagation; Clutter; Covariance matrix; Data processing; Filters; Fluctuations; Frequency; Jamming; Radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
  • Conference_Location
    Adelaide, SA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-1775-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1994.389928
  • Filename
    389928