Combined Radar-Based Communication and Interference Mitigation for Automotive Applications
| Reference number | |
| Coordinator | Chalmers Tekniska Högskola AB - Institutionen för Elektroteknik |
| Funding from Vinnova | SEK 6 880 000 |
| Project duration | January 2019 - March 2021 |
| Status | Completed |
| Venture | Traffic safety and automated vehicles -FFI |
| Call | 2018-00124-en |
| End-of-project report | 2018-01929eng.pdf (pdf, 381 kB) |
Important results from the project
** Denna text är maskinöversatt ** Autonomous driving depends on a variety of sensors, especially radar, which have unique robustness in heavy rain / fog / snow and poor lighting conditions. With the rapid increase in the amount of radar used on modern vehicles, the risk of radar interference becomes a convincing issue. This project analyzes car radar interference and proposes several new approaches that combine industrial and academic expertise towards the goal of achieving interference-free autonomous driving (AD), while realizing a hardware demonstrator is also included.
Expected long term effects
** Denna text är maskinöversatt ** The overall main result of this project is that vehicle radar interference can be a problem for future AD / ADAS applications and that joint radar communication, as well as new robust waveforms, are effective solutions. Further research is needed to develop common radar communication systems in connection with vehicle applications.
Approach and implementation
** Denna text är maskinöversatt ** Project coordination and basic radar and communication balancing analysis were led by Chalmers University of Technology. Scenarios, eligibility requirements, and models are implemented by the management of VCC; physical layer design by QamCom, MAC layer design by Veoneer, system-level evaluation by SAAB, and experiment and validation by Halmstad University.