<title>Scattering center parameter estimation using a polynomial model for the amplitude aspect dependence</title>

Rotating Parabolic-Reflector Antenna Target in SAR Data: Model, Characteristics, and Parameter Estimation

“…Once the six parameters are obtained, the coefficients of the basis functions can be found and therefore the reflectivity function̂( ) results (Figure 12). Note that is proportional to slow time by (14). Figure 12 indicates that the reflectivity is successfully recovered, and the periodicity implies the broadside flash signature which can be favorably used in target recognition.…”

“…The result will be given in Section 6. [10], through the geometric theory of diffraction (GTD) model [11], localized scattering model [12], and attributed scattering model [13], to the polynomial model [14] and migratory scattering model [15]. Their difference lies in that they use different models to characterize the dependency of complex RCS, including amplitude and/or phase, on frequency and/or aspect angle.…”

“…Once the MMSC model is built, the estimation for parameters in this model can be performed from measured data, and there are various ways available, for example, MLE [14], the regularization method [17], and the sparse representation method [15], though they were not intended for our problem herein. Actually, from a unified viewpoint, all of them belong to optimization algorithms for solving inverse problems.…”

“…Actually, from a unified viewpoint, all of them belong to optimization algorithms for solving inverse problems. In this paper, we develop an MLE method for the MMSC model, which is equivalent to the nonlinear least squares estimation [14]. Note that only one PRA target is assumed for simplicity, but it can be generalized for multiple targets by introducing RELAX or CLEAN techniques, thereby circumventing the estimation of the model order.…”

Parametric modeling and applications of target scattering centers: A review

“…Subsequently, Hammond [139] and Crosser [140] estimated the CSF model parameters based on the dictionary construction and basis tracing (BP) method. Rademacher [141] also realized the classification and parameter estimation of the CSF model by using Bayesian technique. Unfortunately, these methods have only been tested on simple combined objects, not on complex real objects.…”