Abstract:Polarimetric adaptive detection of targets in compound-Gaussian clutter with coherent radar is addressed in the paper. An adaptive polarimetric detection algorithm is presented based upon the Generalized Likelihood Ratio Test (GLRT). The proposed algorithm has the Constant False Alarm Rate (CFAR) property with respect to the texture statistical characterization. A sensitivity analysis shows that the probability of false alarm is only slightly affected by variations in the clutter correlation properties. Resorting to simulation, the performance of the algorithm is analyzed in different cases. The proposed algorithm has an close performance as previously proposed algorithm, but it has less complexity, than the previously proposed one.