Model-Based Classification of Aircraft Range Profiles using Data Association Algorithms

This paper deals with aircraft recognition from an airborne platform. The data available are high-resolution radar range profiles. The classification method is probabilistic and supervised. It consists in modelling targets by scattering centers and a further association of peaks from the measure to these scattering centers. The global nearest neighbour algorithm performs the association.