Digital Twin Creation Using CLEAN for Radar Target Emulation

European Radar Conference (EuRAD), pp. 35–38

Abstract

Radar sensors in Advanced Driving Assistance Systems (ADAS) sense the traffic scene identifying reflections occurring in the environment. Clutter contained in the data is caused by multipath and scattering effects leading to signal processing challenges to identify weak targets, which is critical for vulnerable road users. To be able to test a radar for its robustness against clutter, suitable clutter models are required. In this paper, an approach for filtering reflections following the CLEAN algorithm is proposed. By iterative decomposition of processed radar data to a superposition of point sources, reflections are isolated for a replay with a radar target simulator (RTS) to form a digital twin. A field data set recorded in a parking garage is analyzed for its radar target and clutter statistics. After the analysis, a list of possible point targets for replay with an RTS is available and residual RCS levels can be described as Swerling I case.

Authors 4

1. B. Holzinger
   Affiliation as printed

   Keysight Technologies Germany GmbH,Germany

2. T. Vandeplas
   Affiliation as printed

   Keysight Technologies Belgium,Belgium

3. Thomas Dallmann

   Technische Universität Ilmenau

   Affiliation as printed

   Universität Ilmenau,Radio Technologies for Automated and Connected Vehicles Research Group,Germany

4. Dirk Heberling Aachen Institute of High Frequency Technology IHF

   RWTH Aachen University

   Affiliation as printed

   Institute of High Frequency Technology IHF,RWTH Aachen,Germany