Analysis of Automotive Radar Interference Mitigation for Real-World Environments
- Resource Type
- Conference
- Authors
- Toth, Mate; Rock, Johanna; Meissner, Paul; Melzer, Alexander; Witrisal, Klaus
- Source
- 2020 17th European Radar Conference (EuRAD) Radar Conference (EuRAD), 2020 17th. :176-179 Jan, 2021
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Transportation
Radar measurements
Filtering
Heuristic algorithms
Signal processing algorithms
Interference
Radar
Vehicle dynamics
automotive components
sensor systems
millimeter wave radar
radiofrequency interference
radar signal processing
- Language
The critical issue of mutual interference in automotive radar leads to a growing number of processing algorithms for mitigation. Analyses of their performance have been mostly based on either simulations or on a small number of exemplary measurements. In this contribution, a corpus of real-world radar measurements is used, to which strongly varying simulated interferences are added. A statistical analysis framework is then applied to a set of state-of-the-art mitigation algorithms, studying the impact of highly complex object environments on their performance.