The spectrum parted linked image test (SPLIT) algorithm was experimentally shown to estimate frequency-dependency
of dominant scattering centers through sub-band analysis. Based on its demonstrated potential for classifying canonical
scatterers, a theoretical model of the SPLIT algorithm is presented in this paper. Terms are defined, procedures are
detailed, and a metric for total least squares model fitting is developed. In addition, the paper addresses multiple
observations, measures of confidence, sidelobe interference and sensitivity to bandwidth and noise. Finally, it is
described how the one-dimensional (1D) SPLIT algorithm can be extended for use with 2D and 3D imaging.
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.