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Advanced driver assistance systems heavily rely on radars for environmental sensing, mostly without fully exploiting the advantages of distributed systems. This work, therefore, provides methods for direct velocity vector estimation and experimental validation by introducing a quasi-coherent bistatic measurement setup. Cars as complex radar scatterers are analyzed regarding their bistatic radar cross section. Further, a novel retroreflective target, the dielectric corner reflector, is presented and modeled for use as a calibration object for distributed radar systems.
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Advanced driver assistance systems heavily rely on radars for environmental sensing, mostly without fully exploiting the advantages of distributed systems. This work, therefore, provides methods for direct velocity vector estimation and experimental validation by introducing a quasi-coherent bistatic measurement setup. Cars as complex radar scatterers are analyzed regarding their bistatic radar cross section. Further, a novel retroreflective target, the dielectric corner reflector, is presented and modeled for use as a calibration object for distributed radar systems.