Radar Target Rcs Modeling And Testing

The radar cross section (RCS) modeling and target detection are very important in military applications. This thesis focuses on these topics. The main contents of this thesis are as follows:The RCS modeling of conducting targets is done by using GRECO, which is based on the PO and PTD. The GRECO has been extended to model the coated conducting targets by using the generalized approximate Kirchhoff boundary condition based on the Fresnel reflection coefficient.The hybrid method which combines the method of moments (MOM) and PO is introduced to model the electrically large size targets which involve both the flat parts and those with discontinuities such as tip, wedge and cavity.The range profile is calculated from the frequency diversity of the RCS. The 2-D radar imaging which contains both the range profile and the cross range is done through both the frequency diversity and angle diversity. These images can be used for target detection and target identification.The non-linear system identification method is used to extract the characteristics of the targets. In this method, the original receiving signals are reconstructed followed by the detection algorithm for moving targets. In addition, in the design of the filter needed in MTI, the genetic algorithm (GA) is used to obtain the sharp decay within the transition region.