Radar Signal Processing Architecture for Early Detection of Automotive Obstacles
With the mass adoption of automotive vehicles, road accidents have become a common occurrence. One solution to this problem is to employ safety systems that can provide early warning for potential accidents. These systems alert drivers to brake or take active control of a vehicle in order to make br...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/8/1826 |
| _version_ | 1797605664274513920 |
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| author | Nikola Petrović Marija Petrović Vladimir Milovanović |
| author_facet | Nikola Petrović Marija Petrović Vladimir Milovanović |
| author_sort | Nikola Petrović |
| collection | DOAJ |
| description | With the mass adoption of automotive vehicles, road accidents have become a common occurrence. One solution to this problem is to employ safety systems that can provide early warning for potential accidents. These systems alert drivers to brake or take active control of a vehicle in order to make braking safer and smoother, thereby protecting drivers and all other road traffic participants. Most such safety systems utilize millimeter-wave radar as primary sensors, and one of the main challenges is real-time data processing from multiple sensors integrated into a single passenger car. When an obstacle is too close to a vehicle, often there is insufficient time to run higher-order digital signal processing algorithms; hence, the decision to brake must be made based on low-level hardware processing only. For that purpose, a hardware generator for the early detection of automotive obstacles that does not impede the operation of higher-order signal processing algorithms is described. The proposed generator is captured in the Chisel hardware design language and a method for reducing the overall ranging latency is presented. The system constraints are calculated using an exemplary radar front-end and the proposed generator parameters. The obtained analytical results are experimentally confirmed with a prototype composed of a typical industrial radar front-end while the signal processing back-end instance of the described generator was implemented on an FPGA board. The measurements demonstrate that with the fast proximity alert, objects can be detected in less than a hundred microseconds, thus considerably reducing the system reaction delay and braking distance. |
| first_indexed | 2024-03-11T05:04:17Z |
| format | Article |
| id | doaj.art-ae7febdc80674783bcc8e4844d4a8ead |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T05:04:17Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-ae7febdc80674783bcc8e4844d4a8ead2023-11-17T19:01:27ZengMDPI AGElectronics2079-92922023-04-01128182610.3390/electronics12081826Radar Signal Processing Architecture for Early Detection of Automotive ObstaclesNikola Petrović0Marija Petrović1Vladimir Milovanović2Department of Electronics, School of Electrical Engineering, University of Belgrade, 11120 Belgrade, SerbiaNOVELIC d.o.o., 11050 Belgrade, SerbiaDepartment of Electrical Engineering, Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, SerbiaWith the mass adoption of automotive vehicles, road accidents have become a common occurrence. One solution to this problem is to employ safety systems that can provide early warning for potential accidents. These systems alert drivers to brake or take active control of a vehicle in order to make braking safer and smoother, thereby protecting drivers and all other road traffic participants. Most such safety systems utilize millimeter-wave radar as primary sensors, and one of the main challenges is real-time data processing from multiple sensors integrated into a single passenger car. When an obstacle is too close to a vehicle, often there is insufficient time to run higher-order digital signal processing algorithms; hence, the decision to brake must be made based on low-level hardware processing only. For that purpose, a hardware generator for the early detection of automotive obstacles that does not impede the operation of higher-order signal processing algorithms is described. The proposed generator is captured in the Chisel hardware design language and a method for reducing the overall ranging latency is presented. The system constraints are calculated using an exemplary radar front-end and the proposed generator parameters. The obtained analytical results are experimentally confirmed with a prototype composed of a typical industrial radar front-end while the signal processing back-end instance of the described generator was implemented on an FPGA board. The measurements demonstrate that with the fast proximity alert, objects can be detected in less than a hundred microseconds, thus considerably reducing the system reaction delay and braking distance.https://www.mdpi.com/2079-9292/12/8/1826automotive radarCFARobstacle detectionradar signal processingrange-Doppler FFT |
| spellingShingle | Nikola Petrović Marija Petrović Vladimir Milovanović Radar Signal Processing Architecture for Early Detection of Automotive Obstacles Electronics automotive radar CFAR obstacle detection radar signal processing range-Doppler FFT |
| title | Radar Signal Processing Architecture for Early Detection of Automotive Obstacles |
| title_full | Radar Signal Processing Architecture for Early Detection of Automotive Obstacles |
| title_fullStr | Radar Signal Processing Architecture for Early Detection of Automotive Obstacles |
| title_full_unstemmed | Radar Signal Processing Architecture for Early Detection of Automotive Obstacles |
| title_short | Radar Signal Processing Architecture for Early Detection of Automotive Obstacles |
| title_sort | radar signal processing architecture for early detection of automotive obstacles |
| topic | automotive radar CFAR obstacle detection radar signal processing range-Doppler FFT |
| url | https://www.mdpi.com/2079-9292/12/8/1826 |
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