Graphical Electromagnetic Computing For RCS Of Large And Complex Object

This thesis concerned the prediction techniques of radar cross section of large and complex objects. In the thesis, we studied the theory technique for electromagnetic scattering and the simulation of Inverse Synthetic Aperture Radar (ISAR) image of large and complex objects. The main contributions of author's work are as follows:First, the dissertation researched the theory of Radar Image, presented the formulas and principle of ISAR. Then, It Summarized the PO integral methods of Gordon, Ludwig and Graphical Electromagnetic Computing (GRECO). On the base of physical optics, a technique to solve the multiple scattering from complex objects is investigated. Area projection/Physical optics method is derived for the computation of the multiple scattering. Summarized the physics optics application in the electromagnetic scattering, propose that simulating the radar imaging by the GO and PO is efficient. We developed the software --'complex objects ISAR image simulation system'. Some key problems on computing the RCS of large and complex objects are investigated, and the RCS of complex objects such as airplanes and missile is calculated with the software. It was compared to the theory computation and results from other literatures, and was proved efficient and exact. Finally, the simulation of forests scene for large and complex objects was achieved, and the method of modeling and the results are also given, and it will be used in the next step for the RCS computation of large and complex objects.