Cancel
Showing results for 
Search instead for 
Did you mean: 

IDS: Physical and Virtual Testing Synergic Approach to ADAS Radar Performance Verification and Optimization

Siemens Visionary Siemens Visionary
Siemens Visionary
rencen.jpg

The information below was gathered from the 2018 Simcenter Conference - Americas that took place October 15-17 in Detroit, Michigan.

 

Author: Andrea Cantarutti, Head of CAE Business Unit

 

Radars based ADAS solutions are growing at a substantial rate in the automotive market since they play a fundamental role in increasing passengers and pedestrian safety. To meet the stringent vehicle safety norms and to reduce the time and design costs, more effective and efficient industrial approach have to be devised both in terms of simulation (working at 77 GHz poses several numerical challenges) and testing. Automotive radar is always installed behind a bumper/grid. The bumper/grip, to a certain extent, can be considered as a radome and, as in avionic application, the radar antenna performance has to be evaluated accounting for its effects: shape, electromagnetic properties of materials, thickness, reflection and transmission coefficient at typical incidence angles in standard operational conditions may degrade the radar performance (detection range, direction of arrival etc). Numerical modeling (i.e. virtual testing) allows the creation of digital twins, the analysis of many configurations, the exploration of the design space and the identification of trade-off solutions to optimize performance, but the final verification (especially when considering the whole radar performance, both at radio frequency and processing level) has to performed by physical testing (both in test laboratories and on the road) to account for manufacturing tolerances, installation uncertainties, and environmental effects. This paper describes how electromagnetic engineering, i.e. the integration into a single process (synergy and best practice devised from experience) of virtual and physical testing is a key factor to reduce time-to-market and design cost for ADAS solutions.