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Radar Cross Section (RCS) is the equivalent effective area of a given target intercepting a radar wave. In other words, RCS is a measure of how detectable a solid is with radar. For the past years, several electromagnetic numerical codes were used to calculate the RCS of aircrafts including the well known and commonly used Finite Element Method (FEM), Finite Difference Time Domain (FDTD) and Method of Moments (MoM). An incident planar wave is used to simulate the radar signal. Today a hybrid method known as Finite Element Boundary Integral (FEBI) solves a RCS model using the advantages of both FEM and MoM. This paper shows a series of RCS benchmarks listed in the literature comparing the results and performance of FEM, IE and FEBI. In order to show the state of the art of electromagnetic numerical codes and a more realistic analysis, several RCS of aircraft models are presented using FEBI and a true radar source.

Automotive radar and Vehicle to Vehicle (V2V) technology are currently being developed focusing in the safety of the drivers and passengers. The U.S. Department of Transportation's National Highway Traffic Safety Administration (NTHSA) announced that it is going to create a formal path forward for vehicle-to-vehicle communication for light vehicles meaning that NTHSA will start regulatory proposals on how this technology could become mandatory in the future. Automotive short-range radar (SRR) uses the electromagnetic field distribution around a vehicle including reflection from other objects to detect obstacles. If the vehicle is moving the radars can warn the driver to possible impacts and even automatically trigger safety devices such as seat belts or air bags. One of the biggest challenges on the design of SRR is the high frequency of operation which makes it difficult the use numerical simulation due to the small wavelength, leading to electrical large models.