Automatic Target Recognition Based On Sequences of High Resolution Radar Range-Profiles

In this paper, the potential for identifying airborne or ground targets using high resolution radar (HRR) range-profiles, in conjunction with a correlator, is investigated. One type of filter is described which maximizes the expected value of certain correlation peaks. The effectiveness of the filter was investigated in an identification experiment using a dataset of correlation filters from simulated radar range profiles for 4 different ground targets. The simulated range-profiles are produced by graphical electromagnetic computing (GRECO) method. The result suggests that reliable identification is possible provided target aspect information is used and identifications are based on multiple filters