Abstract
The number of cars equipped with radar sensors is steadily increasing. Hence, mutual sensor interference will inevitably occur frequently. Interference results in decreased sensing performance, potentially leading to dangerous traffic situations. For the chirp sequence (CS) radars prevalent in automotive applications, different processing algorithms for interference mitigation have been proposed. However, the performances of these algorithms have not typically been evaluated and compared in a systematic way. In this paper we describe a framework based on the statistical evaluation of performance measures, suitable for a general comparison of mutual radar interference mitigation algorithms. The proposed methodology is then applied to analyze selected algorithms based on radar simulations.
Original language | English |
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Title of host publication | 2019 IEEE Radar Conference, RadarConf 2019 |
Publisher | Institute of Electrical and Electronics Engineers |
ISBN (Electronic) | 9781728116792 |
DOIs | |
Publication status | Published - 1 Apr 2019 |
Event | 2019 IEEE Radar Conference, RadarConf 2019 - Boston, United States Duration: 22 Apr 2019 → 26 Apr 2019 |
Publication series
Name | 2019 IEEE Radar Conference, RadarConf 2019 |
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Conference
Conference | 2019 IEEE Radar Conference, RadarConf 2019 |
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Country/Territory | United States |
City | Boston |
Period | 22/04/19 → 26/04/19 |
Keywords
- Automotive components
- Millimeter wave radar
- Radar signal processing
- Radiofrequency interference
- Sensor systems
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation