The eigenvector-based identification of shallow buried targets in ground penetrating radar

A new approach to the super-resolution eigenvector method implementation, in step-frequency ground penetrating radar (GPR), is proposed. The pseudospectrum determination, fulfilled by the eigenvector algorithm, is followed by a procedure of more precise signal parameter estimation. Accordingly, the distance to the object obtained by the eigenvector algorithm is considered more reliable. Then, complex amplitudes of the determined signal components are calculated, which allows distinguishing different types of buried objects.