The detection of incoherent pulse trains in compound-Gaussian disturbance with known spectral density is dealt with here. Two alternative approaches are investigated, The first, assuming perfect knowledge of the signal fluctuation law and implementing the Neyman-Pearson test on the observed waveform, turns out to be not applicable to the radar problem. The second, instead, relying on the generalized likelihood ratio optimization strategy, leads to a canonical detector, whose structure is independent of the clutter amplitude probability density function. Interestingly, this detector turns out to be constant false-alarm rate in the sense that threshold setting does not require any knowledge as to the clutter distribution, Moreover, since such a processor is not implementable in real situations, we also present an FFT-based (fast Fourier transform) suboptimum structure. Finally, we give closed-form formulas for the detection performance of both receivers, showing that both of them largely outperform the square-law detector, especially in the presence of very spiky clutter.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Incoherent radar detection in compound-Gaussian clutter


    Contributors:
    Conte, E. (author) / Lops, M. (author) / Ricci, G. (author)


    Publication date :

    1999-07-01


    Size :

    474484 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    Structures for radar detection in compound Gaussian clutter

    Sangston, K.J. / Gini, F. / Greco, M.V. et al. | IEEE | 1999


    Asymptotically optimum radar detection in compound-Gaussian clutter

    Conte, E. / Lops, M. / Ricci, G. | IEEE | 1995