The space-time radar problem is well suited to the application of techniques that take advantage of the low-rank property of the space-time covariance matrix. It is shown that reduced-rank (RR) methods outperform full-rank space-time adaptive processing (STAP) when the space-time covariance matrix is estimated from a data set with limited support. The utility of RR methods is demonstrated by theoretical analysis, simulations and analysis of real data. It is shown that RR processing has two opposite effects on the performance: increased statistical stability which tends to improve performance, and introduction of a bias which lowers the signal-to-noise ratio (SNR). A method for evaluating the theoretical conditioned SNR for fixed RR transforms is also presented. It Is shown that while best performance is obtained using data-dependent transforms, the loss incurred by the application of fixed transforms (such as the discrete cosine transform) may be relatively small. The main advantage of fixed transforms is the availability of efficient computational procedures for their implementation. These findings suggest that RR methods could facilitate the development of practical, real-time STAP technology.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Reduced-rank STAP performance analysis


    Beteiligte:
    Peckham, C.D. (Autor:in) / Haimovich, A.M. (Autor:in) / Ayoub, T.F. (Autor:in) / Goldstein, J.S. (Autor:in) / Reid, I.S. (Autor:in)


    Erscheinungsdatum :

    2000-04-01


    Format / Umfang :

    1873943 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Reduced-Rank STAP Performance Analysis

    Peckham, C.D. | Online Contents | 2000


    Optimal and adaptive reduced-rank STAP

    Guerci, J.R. / Goldstein, J.S. / Reed, I.S. | IEEE | 2000


    Optimal and Adaptive Reduced-Rank STAP

    Guerci, J.R. | Online Contents | 2000


    Reduced-rank STAP for high PRF radar

    Ayoub, T.F. / Haimovich, A.M. / Pugh, M.L. | IEEE | 1999


    PAPERS - Reduced-Rank STAP for High PRF Radar

    Ayoub, T.F. | Online Contents | 1999