Local bispectra based high-resolution radar target classification

Shift invariant features-local bispectra of range profiles-are proposed for application to high-resolution radar target recognition. The local bispectra are selected through the Fisher´s class separability discriminant measure on the bi-frequency plane. The selected features are evaluated using range profiles of three scaled aircraft models. It is shown that they are highly discriminative