Spaced-based radar space-time adaptive processing (STAP) in a heterogeneous clutter environment is addressed. An efficient Kalman Filter implementation of the normalized form of the parametric adaptive matched filter (NPAMF) is introduced and shown to perform well against a detailed, ground moving target indication (GMTI) simulation. The number of secondary data range cells required by NPAMF is much smaller than the product of spatial channels and pulses and, thus, NPAMF is attractive for low sample support applications. Results indicate that the same minimum detectable velocity can be realized with about half the SBR aperture if conventional Doppler processing is replaced with STAP, in particular, NPAMF.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Space-time adaptive processing for space based radar


    Beteiligte:
    Schuman, H.K. (Autor:in) / Li, P.G. (Autor:in) / Szczepanski, W. (Autor:in) / Graham, J. (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    520390 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    6.0402 Space-Time Adaptive Processing for Space Based Radar

    IEEE | British Library Conference Proceedings | 2004


    Slow-Time FDA-MIMO Radar Space-Time Adaptive Processing

    Wen, Cai / Wang, Lin / Huang, Yan | IEEE | 2020


    Knowledge-based space-time adaptive processing for airborne early warning radar

    Melvin, W. / Wicks, M. / Antonik, P. et al. | IEEE | 1998