An Improved MTI filter for Ground Clutter Reduction in UAV Classification
In recent years, Unmanned Aerial Vehicles (UAVs) have increasingly been used in many civil applications. However, they also pose a significant threat in restricted zones. Radar can be used to detect and discriminate UAVs. Due to the low flying altitude of the UAVs, it is found that the radar sig...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/82230 http://hdl.handle.net/10220/42734 |
| _version_ | 1826114515570262016 |
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| author | Wan, Fangyuan Liu, Qinglai Wang, Chen Guo, Xin Lin, Zhiping |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Wan, Fangyuan Liu, Qinglai Wang, Chen Guo, Xin Lin, Zhiping |
| author_sort | Wan, Fangyuan |
| collection | NTU |
| description | In recent years, Unmanned Aerial Vehicles (UAVs) have increasingly been used in many civil applications. However, they
also pose a significant threat in restricted zones. Radar can be used to detect and discriminate UAVs. Due to the low flying
altitude of the UAVs, it is found that the radar signals also include some unwanted echoes, reflected by building, ground,
trees and grasses etc. Consequently, it has not been possible to get the clean UAVs characteristics for further classification.
In this paper, the MTI filter is applied to cancel the ground clutter and based this, an improved MTI filter is further proposed.
Compared with the traditional MTI filter, the improved one significantly enhances ground clutter rejection capability while
maintaining most of the target power. As the result, the cleaner UAVs classification characteristics can be obtained. The
effectiveness of the proposed method has been verified by an experimental CW radar dataset, collected from a helicopter
UAV. |
| first_indexed | 2024-10-01T03:40:45Z |
| format | Conference Paper |
| id | ntu-10356/82230 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:40:45Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/822302020-09-26T22:15:16Z An Improved MTI filter for Ground Clutter Reduction in UAV Classification Wan, Fangyuan Liu, Qinglai Wang, Chen Guo, Xin Lin, Zhiping School of Electrical and Electronic Engineering Proceedings of SPIE 10443, Second International Workshop on Pattern Recognition Temasek Laboratories Ground Clutter Reduction Highpass FIR Filter In recent years, Unmanned Aerial Vehicles (UAVs) have increasingly been used in many civil applications. However, they also pose a significant threat in restricted zones. Radar can be used to detect and discriminate UAVs. Due to the low flying altitude of the UAVs, it is found that the radar signals also include some unwanted echoes, reflected by building, ground, trees and grasses etc. Consequently, it has not been possible to get the clean UAVs characteristics for further classification. In this paper, the MTI filter is applied to cancel the ground clutter and based this, an improved MTI filter is further proposed. Compared with the traditional MTI filter, the improved one significantly enhances ground clutter rejection capability while maintaining most of the target power. As the result, the cleaner UAVs classification characteristics can be obtained. The effectiveness of the proposed method has been verified by an experimental CW radar dataset, collected from a helicopter UAV. Accepted version 2017-06-22T03:09:08Z 2019-12-06T14:51:19Z 2017-06-22T03:09:08Z 2019-12-06T14:51:19Z 2017-05-01 2017 Conference Paper Wan, F., Liu, Q., Wang, C., Guo, X., & Lin, Z. (2017). An Improved MTI filter for Ground Clutter Reduction in UAV Classification. Proceedings of SPIE 10443, Second International Workshop on Pattern Recognition, 10443-. https://hdl.handle.net/10356/82230 http://hdl.handle.net/10220/42734 10.1117/12.2280353 198483 en © 2017 Society of Photo-optical Instrumentation Engineers (SPIE). This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of SPIE 10443, Second International Workshop on Pattern Recognition, Society of Photo-optical Instrumentation Engineers (SPIE). It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://doi.org/10.1117/12.2280353]. 5 p. application/pdf |
| spellingShingle | Ground Clutter Reduction Highpass FIR Filter Wan, Fangyuan Liu, Qinglai Wang, Chen Guo, Xin Lin, Zhiping An Improved MTI filter for Ground Clutter Reduction in UAV Classification |
| title | An Improved MTI filter for Ground Clutter Reduction in UAV Classification |
| title_full | An Improved MTI filter for Ground Clutter Reduction in UAV Classification |
| title_fullStr | An Improved MTI filter for Ground Clutter Reduction in UAV Classification |
| title_full_unstemmed | An Improved MTI filter for Ground Clutter Reduction in UAV Classification |
| title_short | An Improved MTI filter for Ground Clutter Reduction in UAV Classification |
| title_sort | improved mti filter for ground clutter reduction in uav classification |
| topic | Ground Clutter Reduction Highpass FIR Filter |
| url | https://hdl.handle.net/10356/82230 http://hdl.handle.net/10220/42734 |
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