Simulation of Pareto distributed temporally and spatially correlated low grazing angle sea clutter

This paper proposes a procedure for simulation of the temporally and spatially correlated low grazing angle sea clutter based on the statistical and correlated characteristics. The magnitudes are Pareto distributed and the temporal correlation characteristics in separated range bins are different from each other. Firstly, the memoryless nonlinear transform (MNLT) is adopted to directly simulate the Pareto distributed high resolution range profiles (HRRPs) of the temporally and spatially correlated sea clutter from coherent pulses. Secondly, by utilizing the approximately linear relationship between the central Doppler frequency and the magnitude of low grazing angle sea clutter, Doppler spectrum of each range bin is modeled. Then, the alternating projection (AP) approach is used to retrieve the phases of sea clutter with desired Doppler spectrum and given magnitudes. Finally, simulation results show the Pareto distributed temporally and spatially correlated sea clutter with desired spatial correlation function and range resolved Doppler spectra.