Adaptive processing in radar polarimetry

In this paper, an adaptive polarimetric system is proposed, which allows for the minimization of the contribution of a stationary clutter by adapting the polarization state of the receiving antenna to the polarimetric signature of the environment by using the minimum power criterion. From the knowledge of the polarimetric signature of the environment and by applying the least mean square criterion, we can detect the presence of targets and estimate their polarimetric parameters. An algorithm of CFAR (Constant False Alarm Rate) is developed to detect the presence of a radar target and of its disappearance.