Abstract
Automotive radars are increasingly used for safety-critical advanced driver assistance systems (ADAS) and autonomous driving applications. Due to unregulated waveforms in the automotive frequency bands, mutual interference between radar-equipped vehicles is becoming a key issue, as it can lead to significant losses of sensor performance. In this work, a novel mutual interference model and a subsequent mitigation method are introduced for chirp sequence radars. The method integrates well into the conventional range-Doppler processing chain, and enables control over the inherent trade-off between interference suppression and signal distortion. Its properties are discussed using extensive simulations within a statistical performance analysis framework. In the investigated scenarios, the method achieved an improvement in detection performance without introducing false alarms.
Original language | English |
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Title of host publication | 2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, ICMIM 2020 |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781728167558 |
DOIs | |
Publication status | Published - 23 Nov 2020 |
Event | 2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility: ICMIM 2020 - Virtuell, Austria Duration: 23 Nov 2020 → … https://www.icmim-ieee.org/ |
Conference
Conference | 2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility |
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Abbreviated title | ICMIM 2020 |
Country/Territory | Austria |
City | Virtuell |
Period | 23/11/20 → … |
Internet address |
Keywords
- automotive components
- millimeter wave radar
- radar signal processing
- radiofrequency interference
- sensor systems
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Optimization
- Instrumentation
- Computer Networks and Communications
- Automotive Engineering