[1]黄大羽,倪忠建,徐飞.基于多机编队有源组网探测的多目标跟踪算法[J].探测与控制学报,2015,(04):46.[doi:.]
 HUANG Dayu,NI Zhongjian,XU Fei.A Multi-target Tracking Algorithm based on Networking Detection of Multiple Airplanes[J].,2015,(04):46.[doi:.]
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基于多机编队有源组网探测的多目标跟踪算法()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
期数:
2015年04期
页码:
46
栏目:
出版日期:
2015-09-15

文章信息/Info

Title:
A Multi-target Tracking Algorithm based on Networking Detection of Multiple Airplanes
文章编号:
1008-1194(2015)04-0046-07
作者:
黄大羽12倪忠建12徐飞12
1. 中国航空无线电电子研究所,上海200233;2. 航空电子系统综合技术重点实验室,上海200233
Author(s):
HUANG Dayu12 NI Zhongjian12 XU Fei12
1.Science and Technology on Avionics Integration Laboratory, Shanghai 200233,China; 2.China National Aeronautical Radio Electronics Research Institute, Shanghai 200233,China
关键词:
多目标跟踪多机编队多假设低可观测
Keywords:
multi-target tracking networking airplanes multiple hypothesis testing low detection probability
分类号:
TP391
DOI:
.
文献标志码:
A
摘要:
针对空战背景下低可观测目标的跟踪问题,提出了基于多机编队有源组网探测的多目标跟踪算法。该算法根据多平台信息分配模型与评分,设计基于评分的求解方法选取可行分配模式,合成等效测量;结合多假设思想,以航迹树的形式组织可能目标,通过设计航迹树的分支与删除策略,实现虚警的剔除以及航迹的起始、维持与终结,通过设计航迹树显示逻辑,显示当前时刻目标的航迹批号与运动参数。仿真结果表明,提出的算法能够在低可观测条件下有效并稳定地跟踪多个目标。
Abstract:
For multiple targets tracking under the condition of low detection probability, a new multi-target tracking algorithm based on networking airplanes was proposed. A second-best technique to obtain equivalent measures according to dynamic allocation model and scoring functions were designed. Then the algorithm removed the false alarms, initialized the tracks, maintained the tracks and terminated the tracks by multiple hypothesis testing. Meanwhile, display logic was applied to show the state estimation and the batch of targets at each scanning. Simulation results showed that the proposed algorithm could efficiently and steadily track multiple targets under the condition of low detection probability.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2015-04-13
基金项目:国家级重点实验室基金项目资助(基金号不公开)
作者简介:黄大羽(1985—),男,上海人,博士,工程师,研究方向:目标检测与跟踪。E-mail:hdayady@163.com。
更新日期/Last Update: 2015-09-20