A New Model for Rain Clutter Cancellation in Marine Radars

in this paper we propose a probability density function for signal contaminated by sea and rain non-stationary clutter and noise. Afterward, using the proposed pdf we estimated unknown parameters and using Hilbert transform and obtain an analytical signal to pass its imaginary part through a designed Hilbert filter. In the cell under test, we compare adaptive threshold output from the calculated real and imaginary parts of signal and make an automatic decision to whether anti rain clutter filter must be used or not. This algorithm will decrease adaptively destructive effects of rain clutter just in such cells that are contaminated with rain reflections. Our proposed algorithm is tested on real RADAR signature and implemented in a sea marine RADAR. Results show that the method has good performance in inhomogeneous clutter and different sea states.