Optimal Design of Multidimensional SAR System Using Application-Aware Inversion Error Bound

Synthetic aperture radar (SAR) is an active microwave remote sensing technology, which is widely used in many fields, such as target recognition and 3-D reconstruction. The new SAR system improves the performance in both accuracy and reliability by incorporating multidimensional measurements. The performance of the new system varies with the applications, which requires an optimal system design to achieve a highly efficient acquisition. However, the optimal design of the current multidimensional SAR (MDSAR) for typical applications is not investigated. In this article, an application-aware inversion error bound is proposed to achieve the optimal design of the MDSAR system. Based on the attributed scattering center (ASC) model, the error bounds of the scattering parameters are obtained with a multidimensional configuration. Then, according to the application scenes, the multidimensional application-aware discrete sampling Cramer-Rao lower bounds (DoubleA-DS-CRLB) are derived to analyze the performance of the typical parameters. The simulation-based experiments demonstrate the optimal MD configurations for target recognition and 3-D reconstruction.