Uncertainty Analysis of RCS Based on 3-D SAR Imaging

Radar Cross Section (RCS) is an important physical quantity that measures the ability of a target to scatter incident electromagnetic waves. The target RCS can be measured with high precision by using radar imaging technology, and the uncertainty analysis of RCS is helpful to evaluate the reliability of measurement results, However, the relevant research on the RCS uncertainty analysis of 3-D imaging has not been carried out. In this paper, combining with IEEE Standard 1502-2020: IEEE Recommended Practice for Radar Cross-Section Test Procedures, a reference standard for RCS uncertainty analysis based on 3-D synthetic aperture radar (SAR) imaging is provides. Firstly, analyze the sources of uncertainty factors in the RCS measurement mode of 3-D SAR imaging, and then analyze the generation process in detail. Through simulation analysis, its influence on RCS measurement results is obtained, finally the uncertainty estimation of each factor is given. Therefore, the uncertainty analysis proposed in this article can be effectively used as a reference standard for quantitative analysis of 3-D imaging RCS measurement results, which is conducive to improving the standardization of the RCS measurement process and the accuracy and reliability of the results.