导航定位与授时2024,Vol.11Issue(2) :111-121.DOI:10.19306/j.cnki.2095-8110.2024.02.011

基于IMM-UIF的多无人机纯角度机动目标跟踪

Angle-only maneuvering target tracking by multi-UAV based on IMM-UIF

吴亚妃 张民 贾大成 邹浩文
导航定位与授时2024,Vol.11Issue(2) :111-121.DOI:10.19306/j.cnki.2095-8110.2024.02.011

基于IMM-UIF的多无人机纯角度机动目标跟踪

Angle-only maneuvering target tracking by multi-UAV based on IMM-UIF

吴亚妃 1张民 1贾大成 1邹浩文1
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作者信息

  • 1. 南京航空航天大学自动化学院,南京 211106
  • 折叠

摘要

针对单无人机不能及时捕捉到目标的运动状态信息,很容易跟丢目标的问题,结合无迹信息滤波(UIF)算法和交互多模型(IMM)算法,提出了基于IMM-UIF的多无人机分布式融合估计算法.将各个无人机上的观测信息传输至中心节点,并统一优化各无人机的控制输入.仿真结果表明,基于IMM-UIF的多无人机分布式融合估计算法比基于IMM-UIF的单无人机跟踪精度提高了约30%,有效融合多无人机平台的量测信息,实现对目标稳定的高精度跟踪.

Abstract

In view of the problem that a single UAV cannot timely capture the movement status in-formation of the target,it is easy to lose track of the target.Combining the unscented information filtering(UIF)algorithm with the interactive multiple model(IMM)algorithm,a multi-UAV dis-tributed fusion estimation algorithm based on IMM-UIF is proposed.The observation information from each UAV is transferred to a central node and the control inputs of each UAV is uniformly optimized.The simulation results show that the tracking accuracy of the multi-UAV distributed fusion estimation algorithm based on IMM-UIF is about 30%higher than that of the single UAV based on IMM-UIF,and the measurement information of the multi-UAV platform is effectively integrated to achieve stable and high-precision target tracking.

关键词

无人机/目标跟踪/交互多模型/无迹信息滤波/分布式融合

Key words

Unmanned aerial vehicle/Target tracking/Interactive multiple models/Unscented in-formation filtering/Distributed fusion

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基金项目

上海航天科技创新基金(SAST2021-053)

出版年

2024
导航定位与授时

导航定位与授时

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参考文献量20
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