A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways
Security risks and economic losses of civil aviation caused by Foreign Object Debris (FOD) have increased rapidly. Synthetic Aperture Radars (SARs) with high resolutions potentially have the capability to detect FODs on the runways, but the target echo is hard to be distinguished from strong clutter...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/3/549 |
| _version_ | 1798002468879073280 |
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| author | Xiaoqi Yang Kai Huo Xinyu Zhang Weidong Jiang Yong Chen |
| author_facet | Xiaoqi Yang Kai Huo Xinyu Zhang Weidong Jiang Yong Chen |
| author_sort | Xiaoqi Yang |
| collection | DOAJ |
| description | Security risks and economic losses of civil aviation caused by Foreign Object Debris (FOD) have increased rapidly. Synthetic Aperture Radars (SARs) with high resolutions potentially have the capability to detect FODs on the runways, but the target echo is hard to be distinguished from strong clutter. This paper proposes a clutter-analysis-based Space-time Adaptive Processing (STAP) method in order to obtain effective clutter suppression and moving FOD indication, under inhomogeneous clutter background. Specifically, we first divide the radar coverage into equal scattering cells in the rectangular coordinates system rather than the polar ones. We then measure normalized RCSs within the X-band and employ the acquired results to modify the parameters of traditional models. Finally, we describe the clutter expressions as responses of the scattering cells in space and time domain to obtain the theoretical clutter covariance. Experimental results at 10 GHz show that FODs with a reflection higher than −30 dBsm can be effectively detected by a Linear Constraint Minimum Variance (LCMV) filter in azimuth when the noise is −60 dBm. It is also validated to indicate a −40 dBsm target in Doppler. Our approach can obtain effective clutter suppression 60dB deeper than the training-sample-coupled STAP under the same conditions. |
| first_indexed | 2024-04-11T11:52:39Z |
| format | Article |
| id | doaj.art-06559919adc24513962b890a8ad02d58 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T11:52:39Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-06559919adc24513962b890a8ad02d582022-12-22T04:25:15ZengMDPI AGSensors1424-82202019-01-0119354910.3390/s19030549s19030549A Clutter-Analysis-Based STAP for Moving FOD Detection on RunwaysXiaoqi Yang0Kai Huo1Xinyu Zhang2Weidong Jiang3Yong Chen4Graduate School, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Sciences and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Sciences and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Sciences and Technology, National University of Defense Technology, Changsha 410073, ChinaScience and Technology on Electromagnetic Scattering Laboratory, Beijing 100854, ChinaSecurity risks and economic losses of civil aviation caused by Foreign Object Debris (FOD) have increased rapidly. Synthetic Aperture Radars (SARs) with high resolutions potentially have the capability to detect FODs on the runways, but the target echo is hard to be distinguished from strong clutter. This paper proposes a clutter-analysis-based Space-time Adaptive Processing (STAP) method in order to obtain effective clutter suppression and moving FOD indication, under inhomogeneous clutter background. Specifically, we first divide the radar coverage into equal scattering cells in the rectangular coordinates system rather than the polar ones. We then measure normalized RCSs within the X-band and employ the acquired results to modify the parameters of traditional models. Finally, we describe the clutter expressions as responses of the scattering cells in space and time domain to obtain the theoretical clutter covariance. Experimental results at 10 GHz show that FODs with a reflection higher than −30 dBsm can be effectively detected by a Linear Constraint Minimum Variance (LCMV) filter in azimuth when the noise is −60 dBm. It is also validated to indicate a −40 dBsm target in Doppler. Our approach can obtain effective clutter suppression 60dB deeper than the training-sample-coupled STAP under the same conditions.https://www.mdpi.com/1424-8220/19/3/549FODinhomogeneous clutterIID sample decouplingscattering cell divisionSTAP |
| spellingShingle | Xiaoqi Yang Kai Huo Xinyu Zhang Weidong Jiang Yong Chen A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways Sensors FOD inhomogeneous clutter IID sample decoupling scattering cell division STAP |
| title | A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways |
| title_full | A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways |
| title_fullStr | A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways |
| title_full_unstemmed | A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways |
| title_short | A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways |
| title_sort | clutter analysis based stap for moving fod detection on runways |
| topic | FOD inhomogeneous clutter IID sample decoupling scattering cell division STAP |
| url | https://www.mdpi.com/1424-8220/19/3/549 |
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