| An Airborne Radar Clutter Tracking Algorithm Based on Multifractal and Fuzzy C-Mean Cluster |
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| 引用本文： | Wei Zhang Sheng-Lin Yu Gong Zhang. An Airborne Radar Clutter Tracking Algorithm Based on Multifractal and Fuzzy C-Mean Cluster[J]. 中国电子科技, 2007, 5(2): 159-162 |
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| 作者姓名： | Wei Zhang Sheng-Lin Yu Gong Zhang |
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| 作者单位： | [1]College of Automation Engineering, Nanjing University of Aeronautics and Astronautics （NUAA）, Nanjing, 210016, China [2]College of Information Science and Technology, NUAA, Nanjing, 210016, China |
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| 摘 要： | For an airborne Iookdown radar, clutter power often changes dynamically about 80 dB with wide distributions as the platform moves. Therefore, clutter tracking techniques are required to guide the selection of const false alarm rate （CFAR） schemes. In this work, clutter tracking is done in image domain and an algorithm combining multifractal and fuzzy C-mean （FCM） cluster is proposed. The clutter with large dynamic distributions in power density is converted to steady distributions of multifractal exponents by the multifractal transformation with the optimum moment. Then, later, the main lobe and side lobe are tracked from the multifractal exponents by FCM clustering method.
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| 关 键 词： | 雷达 追踪算法 图象处理 杂波功率 纹理分割 |
| 修稿时间： | 2006-09-042006-10-10 |
An Airborne Radar Clutter Tracking Algorithm Based on Multifractal and Fuzzy C-Mean Cluster |
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| Wei Zhang,Sheng-Lin Yu,Gong Zhang. An Airborne Radar Clutter Tracking Algorithm Based on Multifractal and Fuzzy C-Mean Cluster[J]. Journal of Electronic Science Technology of China, 2007, 5(2): 159-162 |
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| Authors: | Wei Zhang Sheng-Lin Yu Gong Zhang |
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| Abstract: | For an airborne lookdown radar, clutter power often changes dynamically about 80 dB with wide distributions as the platform moves. Therefore, clutter tracking techniques are required to guide the selection of const false alarm rate (CFAR) schemes. In this work, clutter tracking is done in image domain and an algorithm combining multifractal and fuzzy C-mean (FCM) cluster is proposed. The clutter with large dynamic distributions in power density is converted to steady distributions of multifractal exponents by the multifractal transformation with the optimum moment. Then, later, the main lobe and side lobe are tracked from the multifractal exponents by FCM clustering method. |
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| Keywords: | Clutter tracking multifractal fuzzy C-mean (FCM) cluster image processing texture segmentation |
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