Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction
The research and optimization of multi-target detection algorithm based on FSK system for multi-target traffic radar is presented in this paper. In the multi target detection, the CFAR detection method is used to set the adaptive detection threshold for processing. At the same time, the radar swing...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2018-01-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000076249 |
| Summary: | The research and optimization of multi-target detection algorithm based on FSK system for multi-target traffic radar is presented in this paper. In the multi target detection, the CFAR detection method is used to set the adaptive detection threshold for processing. At the same time, the radar swing angle self-correction algorithm based on the statistical characteristics of the samples is used to improve the radar target detection rate and the scene adaptability for the problem of system performance degradation caused by the radar swing angle. The actual road test shows that the effective capture rate of multi lane and multi target is 95%, and it has good multi-target monitoring effect. It has great practical significance for the popularization and application of multi-target traffic radar. |
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| ISSN: | 0258-7998 |