Radar Identification of Naval Vessels

A scheme is presented for the identification of naval vessels via active multiple-frequency radar interrogation. A major virtue of the described method is the use of a response waveform synthesized using amplitude data only. A prediction correlation using natural resonances associated with substructures on the vessels is applied to synthetically generated matched-filter response waveforms. The identification scheme is tested using measured model data for 8 vessels on a simulated sea surface. A correct identification probability of roughly 77 percent is obtained.     

Natural Resonances of Radar Targets Via Prony's Method and Target Discrimination

The dominant complex natural resonances of radar targets are obtained via Prony's method applied to calculated and measured back-scattered ramp response waveforms. Subject targets are spheres, simple wire models of straight and swept wing aircraft, and realistic models of modern fighter aircraft. It is demonstrated that when the backscattered ramp response waveforms are obtained via Fourier synthesis of limited spectral range harmonic scattering data, some resonance locations at variance with those obtained from reaction integral equation search procedures are obtained. It is also shown, however, that the Prony deduced resonances can be used successfully in predictor-correlator target discrimination.