Fuzzy-Fusion Classifier for MMV Full-Polarization Radar Target Recognition Using One-Dimensional Scattering Centers |
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Authors: | Wang Yang Chen Jianwen and Liu Zhong |
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Institution: | (1) Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing, Jiangsu, 210094, China;;(2) Nanjing Research Institute of Electronics Technology, 4 Gupinggang, Nanjing, Jiangsu, 210013, China |
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Abstract: | One-dimensional (1-D) scattering centers on a target can be used for radar target recognition purpose. In this paper, a new classifier based on fuzzy techniques is proposed, which is very much suitable for target recognition using 1-D scattering centers. Furthermore, information fusion techniques for full polarimetric receiver data are utilized at the decision level. The performance of the proposed fuzzy-fusion classifier is evaluated using a dataset of five aircraft models measured by millimeter-wave (MMW) full-polarization stepped-frequency radar in the compact range facility. |
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Keywords: | Radar target recognition one-dimensional scattering centers fuzzy distribution fusion full-polarization |
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