Abstract
In automotive radar, time-domain thresholding (TD-TH) and time-frequency domain thresholding (TFD-TH) are crucial techniques underpinning numerous interference mitigation methods. Despite their importance, comprehensive evaluations of these methods in dense traffic scenarios with different types of interference are limited. In this study, we segment automotive radar interference into three distinct categories. Utilizing the in-house traffic scenario and automotive radar simulator, we evaluate interference mitigation methods across multiple metrics: probability of detection, signal-to-interference-plus-noise ratio, and phase error involving hundreds of targets and dozens of interfering radars. The numerical results highlight that TFD-TH is more effective than TD-TH, particularly as the density and signal correlation of interfering radars escalate.
| Original language | English |
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| Title of host publication | 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 204-208 |
| Number of pages | 5 |
| ISBN (Electronic) | 979-8-3503-7451-3 |
| DOIs | |
| Publication status | Published - 15 Aug 2024 |
| Externally published | Yes |
| Event | 49th IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 - Seoul, Korea, Republic of Duration: 14 Apr 2024 → 19 Apr 2024 |
Conference
| Conference | 49th IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 14/04/24 → 19/04/24 |
Keywords
- Automotive radar
- CFAR detection
- interference mitigation
- time-frequency analysis