Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82230
Title: An Improved MTI filter for Ground Clutter Reduction in UAV Classification
Authors: Wan, Fangyuan
Liu, Qinglai
Wang, Chen
Guo, Xin
Lin, Zhiping
Keywords: Ground Clutter Reduction
Highpass FIR Filter
Issue Date: 2017
Source: 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-.
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.
URI: https://hdl.handle.net/10356/82230
http://hdl.handle.net/10220/42734
DOI: 10.1117/12.2280353
Rights: © 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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers
TL Conference Papers

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