Modeling of electromagnetic wave scattering over random rough earth surface for a radar target environment simulator

FMCW radar is used as a burst sensor to increase the explosion effect in smart missile systems, but it is also frequently used in smart vehicle, industry and warehouse occupancy applications. In addition, this FMCW-based technology is used as the sensor that enables helicopters and UAVs to land and take-off precisely in all operational conditions. In this context, the working principle of the detailed test system is given that provides the pre-platform desktop functionality tests of the sensor which locally developed. In the study, the design details of a Radar Target Environment Simulator (RTES), which is the developed version of this test system, where the approach tests are carried out with the assumption that there is reflection from a single point source, and which calculates the earth reflections with the multiple and complex structure originating from scattered earth fragments. In this thesis, it is provided to calculate the RCS data used in the calculation of the reflections from distributed and different height of surface patches in the RHOS calculation cell with real surfaces. Thus, RHOS have ability to calculate the Earth RCS value over real surfaces with desired grazing angle, instead of using the RCS values are currently used and assigned with a statistic over the previously measured data. Within the scope of the thesis, PO, which is a high frequency technique, has been used to obtain earth RCS data and a MATLAB code block has been developed in this context. In order to verify the developed software, the results obtained with PO over simple objects were compared with the RCS results calculated with FEKO and CST. In the next step, due to the dynamic and complex structure of the sea surface, the surface RCS at different grazing angles and frequencies were calculated with PO software and the results were compared with the CST results. In this context, Monte Carlo analysis was performed by calculating RCS over a large number of surfaces created with the real distributions determined due to the constantly changing structure of the sea surface. In addition, by analyzing the forward and backward reflections on the surface, the behavior of the sea surface has been obtained.