| 基于统计双门限的中断航迹配对关联算法 |
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| 引用本文： | 齐林,王海鹏,刘瑜. 基于统计双门限的中断航迹配对关联算法[J]. 雷达学报, 2015, 4(3): 301-308. DOI: 10.12000/JR14077 |
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| 作者姓名： | 齐林 王海鹏 刘瑜 |
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| 作者单位： | (海军航空工程学院信息融合研究所 烟台 264001) |
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| 基金项目： | 山东省自然科学基金青年基金(ZR2012FQ004)资助课题 |
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| 摘 要： | 针对现有经典的中断航迹关联算法在目标密集、航迹交叉或分岔环境下关联正确率低和实用性差的问题,该文提出了基于统计双门限的中断航迹配对关联算法.该算法引入统计双门限原理,增加了2 分布门限检测的关联样本数,对复杂环境具有更强的适应能力.仿真验证表明,在空中飞行目标航迹交叉环境和弹道目标环境下,该文算法的全局正确关联率和平均正确关联率均比经典算法有显著提高,验证了该算法性能的优越性.
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| 关 键 词： | 航迹关联 中断航迹 统计双门限 正确关联率 |
| 收稿时间： | 2014-05-07 |
Track segment association algorithm based on statistical binary thresholds |
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| Qi Lin,Wang Hai-peng,Liu Yu. Track segment association algorithm based on statistical binary thresholds[J]. Journal of Radars, 2015, 4(3): 301-308. DOI: 10.12000/JR14077 |
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| Authors: | Qi Lin Wang Hai-peng Liu Yu |
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| Affiliation: | (Institute of Information Fusion, Naval Aeronautical and Astronautically University, Yantai 264001, China) |
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| Abstract: | The classical Track Segment Association (TSA) algorithm suffers from low accuracy and is impractical to use in concentrated targets, branching, and cross-tracking environment. Thus, a new statistical binary track segment association algorithm is proposed. The new algorithm is more appropriate as it increases the sample size for the 2 distribution threshold detection. Simulation results show that in air cross tracking and for ballistic targets, the global correct association rate and the average correct association rate of the proposed algorithm are remarkably improved, which proves the good performance of the proposed algorithm. |
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