中国电子科技2007，Vol.5Issue(2)：159-162,4.
An Airborne Radar Clutter Tracking Algorithm Based on Multifractal and Fuzzy C-Mean Cluster
An Airborne Radar Clutter Tracking Algorithm Based on Multifractal and Fuzzy C-Mean Cluster
摘要
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.关键词
Clutter tracking/multifractal/fuzzy C-mean (FCM) cluster/image processing/texture segmentationKey words
Clutter tracking/multifractal/fuzzy C-mean (FCM) cluster/image processing/texture segmentation引用本文复制引用
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):159-162,4.基金项目
This work was supported by the Aeronautical Science Foundation of China under Grand No. 04D52032. （）
