Radar Signal Detection in the Presence of the Clutter With Pareto Intensity

In this paper, we consider the problem of radar signal detection in the presence of the clutter with Pareto distribution intensity. The clutter is modelled using compound Gaussian model with inverse Gamma distribution for its texture. The Swerling 1 model with an unknown Doppler shift is considered for the target signal. We obtain the optimum detector based on the Neyman-Pearson criteria for completely known target. Moreover, a sub-optimum detector using weak signal approximation and averaging oversignal`s distribution is proposed for target with Swerling 1 model with an unknown Doppler shift.