Detection Performance of Two Nonparametric Detectors in Non-Rayleigh Clutter

In mordern high resolution radar systems,the clutter distribution isn't a simple rayleigh distribution,and the clutter's statistic characters are unknown.With this clutter,parametric detectors lose the capability of CFAR.So robust nonparametric detectors become very important.In this paper the detection performances of Generalized Sign Test and Mann-Whitney detector under two non-rayleigh clutters are analyzed.The clutter is assumed to be Weibull distribution or to be characterized by a log-normal distribution.The diagram of a computer simulation is given in detail.The curves of the detection performance of GS,MW and optimum linear parametric detector for nonfluctuating target models are given through a Monte Carlo simulation.The result shows that two nonparametric detectors' detection performances are better than optimum linear parametric detector's.When the ratios between mean and middle value of different clutters are equal,the differences of the detection performances under different clutters aren't very great.It is proved that increasing the number of integrated pulses can improve the detection performance greatly.