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: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2018-01-01
|
| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000076249 |
| _version_ | 1819289310752407552 |
|---|---|
| author | Cao Lin Yu Lin Wang Dongfeng Li Huanan |
| author_facet | Cao Lin Yu Lin Wang Dongfeng Li Huanan |
| author_sort | Cao Lin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-24T03:04:49Z |
| format | Article |
| id | doaj.art-1c4f50b6a08344a2ad65479ede83d5e7 |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-12-24T03:04:49Z |
| publishDate | 2018-01-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-1c4f50b6a08344a2ad65479ede83d5e72022-12-21T17:18:03ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982018-01-01441687110.16157/j.issn.0258-7998.1721603000076249Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correctionCao Lin0Yu Lin1Wang Dongfeng2Li Huanan3Department of Telecommunication Engineering，Beijing Information Science & Technology University，Beijing 100101，ChinaDepartment of Telecommunication Engineering，Beijing Information Science & Technology University，Beijing 100101，ChinaDepartment of Telecommunication Engineering，Beijing Information Science & Technology University，Beijing 100101，ChinaDepartment of Telecommunication Engineering，Beijing Information Science & Technology University，Beijing 100101，ChinaThe 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.http://www.chinaaet.com/article/3000076249traffic radartarget detectionswing angle correctioneffective capture rate |
| spellingShingle | Cao Lin Yu Lin Wang Dongfeng Li Huanan Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction Dianzi Jishu Yingyong traffic radar target detection swing angle correction effective capture rate |
| title | Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction |
| title_full | Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction |
| title_fullStr | Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction |
| title_full_unstemmed | Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction |
| title_short | Optimization of multi-target traffic radar algorithm based on CFAR detection and swing angle self-correction |
| title_sort | optimization of multi target traffic radar algorithm based on cfar detection and swing angle self correction |
| topic | traffic radar target detection swing angle correction effective capture rate |
| url | http://www.chinaaet.com/article/3000076249 |
| work_keys_str_mv | AT caolin optimizationofmultitargettrafficradaralgorithmbasedoncfardetectionandswingangleselfcorrection AT yulin optimizationofmultitargettrafficradaralgorithmbasedoncfardetectionandswingangleselfcorrection AT wangdongfeng optimizationofmultitargettrafficradaralgorithmbasedoncfardetectionandswingangleselfcorrection AT lihuanan optimizationofmultitargettrafficradaralgorithmbasedoncfardetectionandswingangleselfcorrection |