| 分步的基于模糊聚类的多雷达航迹关联算法 |
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| 引用本文： | 张树斌,方洋旺,雍霄驹,彭维仕,李伟.分步的基于模糊聚类的多雷达航迹关联算法[J].计算机应用,2016,36(5):1232-1235. |
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| 作者姓名： | 张树斌 方洋旺 雍霄驹 彭维仕 李伟 |
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| 作者单位： | 空军工程大学 航空航天工程学院, 西安 710038 |
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| 摘 要： | 针对采用传递闭包模糊聚类的多雷达航迹关联算法运算量较大的问题,提出了分步的基于模糊聚类的多雷达航迹关联算法。首先基于欧氏距离对航迹进行预关联判断,然后通过模糊相似计算,简化了航迹相似矩阵,进而减少了相似计算与矩阵迭代的次数,最终达到了减小运算量的目的。仿真结果表明:所提算法在保证关联正确率的前提下,耗时减小了54%,有效地提高了多雷达航迹关联算法的效率。
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| 关 键 词： | 信息融合 分步 目标跟踪 航迹关联 模糊聚类 |
| 收稿时间： | 2015-10-19 |
| 修稿时间： | 2015-12-26 |
Step-by-step multi-radar track correlation algorithm based on fuzzy clustering |
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| ZHANG Shubin,FANG Yangwang,YONG Xiaoju,PENG Weishi,LI Wei.Step-by-step multi-radar track correlation algorithm based on fuzzy clustering[J].journal of Computer Applications,2016,36(5):1232-1235. |
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| Authors: | ZHANG Shubin FANG Yangwang YONG Xiaoju PENG Weishi LI Wei |
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| Affiliation: | College of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi'an Shaanxi 710038, China |
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| Abstract: | Since the multi-radar track correlation algorithm based on transitive closure fuzzy clustering has high computational complexity, a step-by-step multi-radar track correlation algorithm based on fuzzy clustering was proposed. First, based on the Euclidean distance the track correlation was judged, and the track similar matrix was simplified through fuzzy similarity calculation. Furthermore, the calculation of the iterations was decreased. Finally, the computational demanding of the proposed algorithm was certainly reduced. The simulation results show that the proposed algorithm can determine targets' tracks accurately, saves 54% of time effectively with the high accuracy. |
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| Keywords: | information fusion step-by-step target tracking track correlation fuzzy clustering |
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