基于相互测距信息的机群组网协同定位技术

刘俊成; 张京娟; 冯培德

基于相互测距信息的机群组网协同定位技术

北京航空航天大学仪器科学与光电工程学院, 北京 100191

基金项目: 航空科学基金重点实验室类资助项目(20095551026)

详细信息

中图分类号: V 249.32
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出版历程
- 收稿日期: 2011-03-30
- 网络出版日期: 2012-04-30

Swarming aircraft collaborative localization based on mutual rangings

School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 在网络中心战条件下,针对无GPS(Global Positioning System)时如何提高机群的导航定位精度问题,构建了以机载数据链和惯导系统为核心的协同定位系统,设计了协同定位系统的测距方案,分析了协同定位过程中的时间同步问题,提出了一种基于机间相互测距信息的机群组网协同定位方法.该方法利用几何图形平移旋转来估计机群各飞机的惯导系统定位误差.仿真表明:该方法可以用于长时间估计惯导位置误差,有效延缓惯导位置误差的发散速度,当5架飞机协同定位时,机群惯导位置精度将提高2倍左右.
- 协同定位 /
- 机群 /
- 相互测距 /
- 数据链 /
- 惯导系统 /
- 导航系统 /
- 几何图形平移旋转
Abstract: In the environment of net-centric war, collaborative localization based on mutual rangings is proposed to improve the inertial positioning accuracy of the swarming aircraft when global positioning system (GPS) is unbelievable. The collaborative localization system, which was mainly composed of the inter-flight data link and the inertial system, was designed and the ranging scheme as well as the time synchronization problem were analyzed. The polygon translation-rotation method was applied to estimate the inertial positioning errors. Simulation results show that the polygon translation-rotation method slows down the divergence speed of the inertial positioning errors effectively and the inertial navigation accuracy is about 2 times of the original level with the help of collaborative localization for the five aircraft swarming.
- collaborative localization /
- swarming aircraft /
- mutual ranging /
- data link /
- inertial system /
- navigation system /
- polygon translation-rotation method

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参考文献(11)

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