Feature extraction of a single dihedral reflector from SAR data

As one of the key steps in the feature extraction of targets consisting of both trihedral and dihedral corner reflectors via synthetic aperture radar, this paper studies the problem of estimating the parameters of a single dihedral corner reflector. The data model of the problem and the Cramer-Rao bounds (CRBs) for the parameter estimates of the data model are presented. Two algorithms, the FFTB (fast Fourier transform based) algorithm and the NLS (non-linear least squares) algorithm, are devised to estimate the model parameters. Numerical examples show that the parameter estimates obtained with both algorithms approach the CRBs as the signal-to-noise ratio increases. The parameter estimates obtained with the NLS algorithm start to achieve the CRB at a lower SNR than those with the FFTB algorithm, while the latter algorithm is computationally more efficient