Uniform randomization of ties is required for defining distribution-free ranks of independent and identically distributed quantized samples. Formulas of rank probabilities are given and applied to radar detection under quantized video samples. For some detectors, and assuming Gaussian noise, the asymptotic loss L/sub infinity /(q) is calculated versus the normalized quantization step q, and the loss L(q) is estimated by Monte Carlo simulations. Both of these resulted in monotonic functions of q (0<0.8. The quantization step q is normalized with respect to the noise standard deviation.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Nonparametric rank detectors on quantized radar video signals


    Contributors:


    Publication date :

    1990-11-01


    Size :

    436659 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Nonparametric rank detectors under K-distributed clutter in radar applications

    Sanz-Gonzalez, J.L. / Alvarez-Vaquero, F. | IEEE | 2005



    Modified Savage and Modified Rank Squared Nonparametric Detectors

    Al-hussaini, Emad K. / Badran, Farid M. / Turner, Laurence F. | IEEE | 1978


    A Suboptimum Rank Test for Nonparametric Radar Detection

    Sanz-Gonzalez, J. L. / Figueros-Vidal, A. R. | IEEE | 1986