Identification of multiaspect radar signals based on the feature space trajectory concept

Identification of radar targets has often been based on information gathered from only a single relative aspect between the radar and target. However, identification performances can be significantly improved, provided that radar signals at multiple aspects are simultaneously used to identify radar targets. In this paper, we investigate performances of various approaches to identification using multiaspect radar signals. In addition, some novel techniques based on the feature space trajectory concept are introduced to further enhance the identification performance of the conventional methods. All of these approaches are demonstrated using radar cross section (RCS) data of various aircraft models measured at compact range. Results show that the proposed methods via the FST concept can provide the most promising identification accuracy.