面向多机异步测向系统的多目标数据关联算法

doi:10.12305/j.issn.1001-506X.2026.02.02

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (2): 392-401.doi: 10.12305/j.issn.1001-506X.2026.02.02

• 电子技术 • 上一篇

面向多机异步测向系统的多目标数据关联算法

周晓¹, 孙子豪¹, 苏盈², 王丽², 牟新刚¹^,*()

1. 武汉理工大学机电工程学院，湖北武汉 430070
2. 武汉高德红外股份有限公司，湖北武汉 430223

收稿日期:2024-12-10 修回日期:2025-03-26 出版日期:2025-05-23 发布日期:2025-05-23
通讯作者: 牟新刚 E-mail:sunnymou@whut.edu.cn
作者简介:周　晓（1979—），男，教授，博士，主要研究方向为数字图像处理、多机协同
孙子豪（2001—），男，硕士研究生，主要研究方向为数字图像处理、多机协同
苏　盈（1987—），女，高级工程师，硕士，主要研究方向为光电系统工程技术、伺服控制技术
王　丽（1989—），女，工程师，硕士，主要研究方向为图像检测、跟踪算法
基金资助:
国家自然科学基金（62475200）资助课题

Multi-target data association algorithm for multi-sensor asynchronous direction finding system

Xiao ZHOU¹, Zihao SUN¹, Ying SU², Li WANG², Xingang MOU¹^,*()

1. Institute of Electronic and Mechanical Engineering，Wuhan University of Technology，Wuhan 430070，China
2. Wuhan Guide Infrared Company Limited，Wuhan 430223，China

Received:2024-12-10 Revised:2025-03-26 Online:2025-05-23 Published:2025-05-23
Contact: Xingang MOU E-mail:sunnymou@whut.edu.cn

摘要/Abstract

摘要：

针对多载机协同光电探测系统执行多目标搜索任务时的测向数据关联问题，提出一种基于异步测向定位模型的数据关联算法。首先分析出传统关联代价模型的代价函数受测向数据异步采集的影响较大，再利用传感器误差等先验参数构建基本约束对关联组合进行初步筛选，然后再通过光电探测系统的搜索原理构建异步测向关联模型进行代价关联。仿真实验结果表明，相比于其他关联模型，所提算法模型关联正确率维持在90%以上，受载机和目标数量影响更小，算法耗时相对较低，性能更高。

关键词: 测向定位模型, 多目标, 关联代价函数, 数据关联算法

Abstract:

Aiming at the problem of direction finding data association when multi-sensor cooperative photoelectric detection system performs multi-target search tasks, a data association algorithm based on asynchronous direction finding positioning model is proposed. It is first analyzed that the cost function of the traditional correlation cost model is greatly affected by the asynchronous acquisition of direction finding data. Then, the basic constraints are constructed by using the prior parameters such as sensor error to preliminarily screen the association combination, and then the asynchronous direction finding association model is constructed by the search principle of the photoelectric detection system for cost association. The simulation results show that compared with other association models, the proposed algorithm model association accuracy is maintained at 90% and above, less affected by the number of aircraft and targets, and the algorithm consumes relatively less time and has higher performance.

Key words: direction finding positioning model, multi-target, associated cost function, data association algorithm

中图分类号:

TP 391

周晓, 孙子豪, 苏盈, 王丽, 牟新刚. 面向多机异步测向系统的多目标数据关联算法[J]. 系统工程与电子技术, 2026, 48(2): 392-401.

Xiao ZHOU, Zihao SUN, Ying SU, Li WANG, Xingang MOU. Multi-target data association algorithm for multi-sensor asynchronous direction finding system[J]. Systems Engineering and Electronics, 2026, 48(2): 392-401.

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误差项	误差水平	误差分布
载机定位精度/m	10	高斯
航向姿态误差/（°）	0.05	高斯
俯仰角误差/（°）	0.01	高斯
光电方位角测角误差/mard	1	高斯
光电俯仰角测角误差/mard	1	高斯

定位算法模型	RMSE_p/m	RMSE_v/（m/s）
异步测向定位模型	1 102	254.3
四参数LS模型	1 217	261.3
线性近似定位模型	5 189	948.5

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面向多机异步测向系统的多目标数据关联算法

Multi-target data association algorithm for multi-sensor asynchronous direction finding system

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