Abstract
The curvilinear synthetic aperture radar (SAR), as a more practicable three-dimensional (3-D) SAR imaging system, has to utilize the parametric methods to extract the target features from its received data, the sparse data in 3-D frequency space. With the obtained feature estimates, these parametric methods, who can efficiently remove the effects of the sidelobes, reconstruct the target image whose quality is affected by the estimation accuracy of the features. By minimizing the Cramer-Rao bounds (CRBs) of the target features, we show, in this paper, the different effects on the estimation accuracy of different aperture parameters. A feature-independent aperture evaluator is also given for the curvilinear SAR system
