A new family of constant false alarm rate (CFAR) processors is introduced. An Ll-CFAR forms its noise power estimate by linearly filtering ranked samples from the reference set; the weights of this combination, however, depend not only on the rank, but also on the relative proximity of the sample to the cell under test. From the class of Ll-CFARs may be chosen members which effectively censor spurious targets; members which exhibit impressive control of false alarm in the presence of a clutter edge; and members which are robust against both such inhomogeneities. While the design of such schemes is involved, their implementation is not significantly more burdensome than that of plain ordered statistic CFAR (OS-CFAR). After a discussion of the stochastic training of Ll-CFAR, the performance is thoroughly assessed under the most commonly encountered instances of environmental conditions, and compared with those of classical CFAR techniques.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Ll-CFAR: a flexible and robust alternative


    Contributors:
    Lops, M. (author) / Willett, P. (author)


    Publication date :

    1994-01-01


    Size :

    1074118 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    L1-CFAR: A Flexible and Robust Alternative

    Lops, M. | Online Contents | 1994


    A new and robust CFAR detection algorithm

    Anastassopoulos, V. / Lampropoulos, G. | IEEE | 1992


    A Robust Variability Index CFAR Detector for Weibull Background

    Wang, Xinyang / Li, Yang / Zhang, Ning | IEEE | 2023


    Analysis of some modified ordered statistic CFAR: OSGO and OSSO CFAR

    Elias-Fuste, A.R. / de Mercado, M.G.G. / de los Reyes Davo, E. | IEEE | 1990