Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation
Radar detection is a technology frequently used to detect objects and measure the range, angle, or velocity of those objects. Several studies have been performed to improve the accuracy and performance of detection methods, but they encountered a strong challenge, which was the minimization of false...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/7/2967 |
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| author | Abdel Hamid Mbouombouo Mboungam Yongfeng Zhi Cedric Karel Fonzeu Monguen |
| author_facet | Abdel Hamid Mbouombouo Mboungam Yongfeng Zhi Cedric Karel Fonzeu Monguen |
| author_sort | Abdel Hamid Mbouombouo Mboungam |
| collection | DOAJ |
| description | Radar detection is a technology frequently used to detect objects and measure the range, angle, or velocity of those objects. Several studies have been performed to improve the accuracy and performance of detection methods, but they encountered a strong challenge, which was the minimization of false alarms and the distinguishing of real targets from false alarms, especially in nonhomogeneous environments. We propose a new detection method that uses time-frequency analysis tools to improve detection performance and maintain a low constant false alarm rate. Different from existing works, this paper combines the clutter map constant false alarm rate technique with the Gabor transform for accurate target detection in cluttered environments. We suggest the combination of a CFAR detector with a time-frequency method that enables us to tackle challenging scenarios involving near targets. The proposed method allows for locating the exact position of the target by reducing the impact of clutter and maintaining a low rate of false alarms, while the Gabor transform facilitates the extraction of pertinent target characteristics and improves differentiation from clutter. Through experiments and simulations in different scenarios and clutter models, we demonstrate that the method is efficient in measurements and performs well in cluttered environments. This research has a major impact on signal processing and significantly improves target detection in cluttered environments, allowing this method to be deeply developed and implemented. |
| first_indexed | 2024-04-24T10:48:32Z |
| format | Article |
| id | doaj.art-24497f3c83ce4952adff2e83de655f98 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-24T10:48:32Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-24497f3c83ce4952adff2e83de655f982024-04-12T13:15:19ZengMDPI AGApplied Sciences2076-34172024-03-01147296710.3390/app14072967Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo SimulationAbdel Hamid Mbouombouo Mboungam0Yongfeng Zhi1Cedric Karel Fonzeu Monguen2School of Automation, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an 710072, ChinaInstitute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology (KIT), Engesserstr. 20, 76131 Karlsruhe, GermanyRadar detection is a technology frequently used to detect objects and measure the range, angle, or velocity of those objects. Several studies have been performed to improve the accuracy and performance of detection methods, but they encountered a strong challenge, which was the minimization of false alarms and the distinguishing of real targets from false alarms, especially in nonhomogeneous environments. We propose a new detection method that uses time-frequency analysis tools to improve detection performance and maintain a low constant false alarm rate. Different from existing works, this paper combines the clutter map constant false alarm rate technique with the Gabor transform for accurate target detection in cluttered environments. We suggest the combination of a CFAR detector with a time-frequency method that enables us to tackle challenging scenarios involving near targets. The proposed method allows for locating the exact position of the target by reducing the impact of clutter and maintaining a low rate of false alarms, while the Gabor transform facilitates the extraction of pertinent target characteristics and improves differentiation from clutter. Through experiments and simulations in different scenarios and clutter models, we demonstrate that the method is efficient in measurements and performs well in cluttered environments. This research has a major impact on signal processing and significantly improves target detection in cluttered environments, allowing this method to be deeply developed and implemented.https://www.mdpi.com/2076-3417/14/7/2967cluttered environmentsdetection probabilityfalse alarm ratesignal processingtime-frequency analysis tools |
| spellingShingle | Abdel Hamid Mbouombouo Mboungam Yongfeng Zhi Cedric Karel Fonzeu Monguen Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation Applied Sciences cluttered environments detection probability false alarm rate signal processing time-frequency analysis tools |
| title | Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation |
| title_full | Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation |
| title_fullStr | Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation |
| title_full_unstemmed | Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation |
| title_short | Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation |
| title_sort | clutter map constant false alarm rate mixed with the gabor transform for target detection via monte carlo simulation |
| topic | cluttered environments detection probability false alarm rate signal processing time-frequency analysis tools |
| url | https://www.mdpi.com/2076-3417/14/7/2967 |
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