By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio algorithm (PGLR) is developed together with the closed-form expressions of probabilities of detection and false alarm. This multiband algorithm, which requires less computation, can significantly outperform the corresponding unstructured multiband GLR algorithm, especially in a severely nonstationary and/or nonhomogeneous interference environment. Simulation shows that the constant false alarm rate (CFAR) performance of the new algorithm is as insensitive as that of the unstructured multiband GLR to the departure of interference distribution from Gaussian.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A persymmetric multiband GLR algorithm


    Contributors:
    Cai, L. (author) / Wang, H. (author)


    Publication date :

    1992-07-01


    Size :

    746145 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Persymmetric Adaptive Radar Detectors

    Pailloux, G. / Forster, P. / Ovarlez, Jean-Philippe et al. | IEEE | 2011


    On the performance of a persymmetric adaptive matched filter

    Jun Liu / Guolong Cui / Hongbin Li et al. | IEEE | 2015


    Persymmetric adaptive target detection with distributed MIMO radar

    Jun Liu / Hongbin Li / Himed, Braham | IEEE | 2015