I. 1NTRODUCTlONAutomatic object recognition, the ability for a machine to classify an object it has detected, is an area of continual interest. The classification of objects requires extraction of dixriminato information, and this process is called sensor used, and this work addresses onedimensional, High Resolution Radar (HRR).
THE DISPERSIVE SCATTERING C E M E R MODELGTD as developed by Keller [7] predicts that at lugh frequencies, the backscattered field is related to the incident field and appears to originate from a discrete set of independent scattering centers.
This paper presents an algorithm for estimating the frequency dependence of scattering center amplitudes. The spectrum parted linked image test (SPLIT) algorithm compares the amplitude peaks in two images formed by splitting the radar signal bandwidth into two parts. The theoretical basis for the algorithm lies in the Geometrical Theory of Diffraction. This theoretical basis, a description of the algorithm, and experimental results are provided. The authors recommend the use of this algorithm for high frequency (> 5 GHz), wide-band (> 1 GHz) applications involving target detection and recognition.
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