Abstract
An evaluation of monostatic radar cross section (RCS) response in the near-field range was performed for several targets with different and complex topologies. The main objective was to provide and validate an efficient tool based on electromagnetic (EM) simulations to characterize a traffic scenario. Thus, a novel method based on the combination of geometrical theory of diffraction (GTD) and physical optics (PO) was used to estimate RCS, and the results were compared with the method of moments (MoM) methodology. The simulations were experimentally validated using a commercial vehicular frequency-modulated continuous wave (FMCW) radar at 24 GHz. With this simple measurement system, RCS measurements can be made using an easier and cheaper process to obtain RCS response in the near-field range, which is the most usual situation for traffic applications. A reasonable agreement between the measurements and the EM simulations was observed, validating the proposed methodology in order to efficiently characterize the RCS of targets typically found in real traffic scenarios.
Highlights
Radar cross section (RCS) indicates the ability of an object to scatter an incident electromagnetic (EM) wave
radar cross section (RCS) analysis of structures with diverse topologies is of great interest in the characterization of EM scattering problems in real scenarios
This paper presents an efficient EM method in order to characterize a traffic scenario based on the combination of geometrical theory of diffraction (GTD) and physical optics (PO) methodologies
Summary
Radar cross section (RCS) indicates the ability of an object to scatter an incident electromagnetic (EM) wave. The fundamentals of the GTD–PO hybrid technique are based on complementing GTD with the advantages of PO, and vice versa, and avoiding the disadvantages of both This method is more efficient in terms of CPU time and computer memory than previous simulation methods [9], providing accurate results in real scenarios [12]. The main purpose and contribution of this work is that it demonstrates numerical methods, such as MoM and/or GTD–PO, are very useful to simulate typical scenarios with complex targets, obtaining great concordance to measurements with reasonable computational cost. Even though some measurements presented in this work do not correspond to targets typically found in traffic scenarios, the main purpose was to characterize very complex, multifaceted, and intricated structures in order to experimentally validate the proposed numerical methods as well as to ensure their accuracy and reliability. The results obtained in this work are discussed in the Conclusions section
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