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Proceedings Paper

An improved MTI filter for ground clutter reduction in UAV classification
Author(s): Fangyuan Wan; Qinglai Liu; Chen Wang; Xin Guo; Zhiping Lin
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Paper Abstract

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.

Paper Details

Date Published: 19 June 2017
PDF: 5 pages
Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104431H (19 June 2017); doi: 10.1117/12.2280353
Show Author Affiliations
Fangyuan Wan, Nanyang Technological Univ. (Singapore)
Qinglai Liu, Nanyang Technological Univ. (Singapore)
Chen Wang, Nanyang Technological Univ. (Singapore)
Xin Guo, Nanyang Technological Univ. (Singapore)
Zhiping Lin, Nanyang Technological Univ. (Singapore)


Published in SPIE Proceedings Vol. 10443:
Second International Workshop on Pattern Recognition
Xudong Jiang; Masayuki Arai; Guojian Chen, Editor(s)

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