空基多雷达航迹抗差关联算法

doi:10.7527/S1000-6893.2017.21691

电子电气工程与控制

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空基多雷达航迹抗差关联算法

齐林¹, 刘瑜¹, 任华龙², 何友¹

1. 海军航空大学信息融合研究所, 烟台 264001;
2. 海军青岛雷达声呐修理厂, 青岛 266000

收稿日期:2017-08-24 修回日期:2018-01-25 出版日期:2018-03-15 发布日期:2017-12-04
通讯作者: 齐林,E-mail:3278pirate@163.com E-mail:3278pirate@163.com
基金资助:
国家自然科学基金（61471383，61531020，61471379，61102166）

Air-platform multi-radar anti-bias tracks association algorithm

QI Lin¹, LIU Yu¹, REN Hualong², HE You¹

1. Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China;
2. Naval Garage of Radar and Sonar, Qingdao 266000, China

Received:2017-08-24 Revised:2018-01-25 Online:2018-03-15 Published:2017-12-04
Supported by:
National Natural Science Foundation of China (61471383, 61531020, 61471379, 61102166)

摘要/Abstract

摘要： 基于高斯随机矢量统计特性，推导出一种适用于探测距离较远、系统误差时变、雷达上报目标不一致等复杂环境的空基多雷达航迹抗差关联算法。分解航迹距离矢量，对消系统误差矢量得出适用于3个及3个以上雷达的航迹抗差关联条件和流程。分别设置了目标密集程度、随机误差和系统误差适应性实验验证算法性能。仿真结果表明所提算法的关联准确性和复杂环境适应性相比现有的基于参照拓扑特征的航迹关联算法（RET算法）和基于距离检测的可信关联算法（confidential算法）有较大幅度的提升。

关键词: 航迹关联, 测量误差, 空基, 多雷达, 高斯随机矢量

Abstract: An air-platform multi-radar anti-bias tracks association algorithm is proposed based on the statistical feature of the Gaussian random vector. The algorithm is adaptive to complicated environment such as far detection range, time-varied measurement biases, and different targets reported by different radars. The anti-bias tracks association conditions for three or more radars and the multi-radar anti-bias tracks association flow are proposed based on the difference between bias vectors. Adaptability experiments are established based on three factors including the targets density, random error and sensor bias to validate the performance of the algorithm. Monte Carlo simulations demonstrate that the proposed algorithm can significantly improve the association accuracy and the adaptability to complicated environment compared with the algorithm based on the reference topology feature (RET algorithm) and the confidential algorithm based on bias detection (confidential algorithm).

Key words: track association, measurement bias, air-platform, multi-radar, Gaussian random vector

中图分类号:

V243.2

齐林, 刘瑜, 任华龙, 何友. 空基多雷达航迹抗差关联算法[J]. 航空学报, 2018, 39(3): 321691-321691.

QI Lin, LIU Yu, REN Hualong, HE You. Air-platform multi-radar anti-bias tracks association algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(3): 321691-321691.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

空基多雷达航迹抗差关联算法

Air-platform multi-radar anti-bias tracks association algorithm

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