熊伟,
唐田田
海军航空大学信息融合研究所 烟台 264001
基金项目:国家自然科学重大专项基金(61790550, 61790554)
详细信息
作者简介:崔亚奇:男,1987年生,讲师,研究方向为航迹关联、状态估计融合、机器学习、人工智能
熊伟:男,1977年生,教授,研究方向为多传感器信息融合,指挥自动化
唐田田:女,1989年生,讲师,研究方向为大数据技术及应用
通讯作者:崔亚奇 cui_yaqi@126.com
中图分类号:TN953; TN957.51计量
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被引次数:0
出版历程
收稿日期:2019-10-25
修回日期:2020-05-04
网络出版日期:2020-05-13
刊出日期:2020-10-13
A Track Correlation Algorithm Based on New Space-time Cross-point Feature
Yaqi CUI,,Wei XIONG,
Tiantian TANG
Institute of Information Fusion, Naval Aeronautical and Astronautically University, Yantai 264001, China
Funds:The National Natural Science Major Special Projects Foundation of China (61790550, 61790554)
摘要
摘要:为有效解决实际工程中的航迹关联问题,该文定义了广义时空交叉点,并提出了以航迹对时空交叉点为特征,通过特征匹配来实现航迹抗差关联的新方法。实测数据验证结果表明:在雷达航迹不完全匹配且存在时空差异误差的情况下,该方法可有效实现雷达航迹的抗差关联,并且几乎不受时空差异误差大小的影响,具有强鲁棒性和稳定性,可有效解决实际工程中的航迹关联问题,消除冗余航迹,提供统一态势。
关键词:航迹关联/
时空交叉点/
特征匹配/
假设检验/
Hausdorff距离
Abstract:To solve the problem of track correlation in practical engineering effectively, a new concept of generalized space-time cross point of track pair is defined in this paper. Then a new algorithm which utilize space-time cross-point as feature points and realizes the track correlation through feature point matching is proposed in this paper. The test experiments with measured data illustrate the proposed algorithm of which the performance is effective, stable and robust, can eliminate redundant tracks and provide a unified situation.
Key words:Track correlation/
Space-time cross-point/
Feature matching/
Hypothesis testing/
Hausdorff Distance(HD)
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