| 引用本文: | 杨卫平,张晓冬,汤卓.无人机多源导航信息自主管理方法研究[J].控制理论与应用,2015,32(11):1478~1486.[点击复制] |
| Yang Wei-ping,Zhang Xiao-dong,Tang Zhuo.Autonomous management method of multi-source navigation system on unmanned aircraft vehicle[J].Control Theory and Technology,2015,32(11):1478~1486.[点击复制] |
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| 无人机多源导航信息自主管理方法研究 |
| Autonomous management method of multi-source navigation system on unmanned aircraft vehicle |
| 摘要点击 1677 全文点击 1400 投稿时间：2015-05-08 修订日期：2016-01-12 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2015.50376 |
| 2015,32(11):1478-1486 |
| 中文关键词 信息融合 完好性 联合故障检测 D–S证据推理 |
| 英文关键词 information fusion integrity joint fault detection D–S evidence reasoning |
| 基金项目 |
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| 中文摘要 |
| 完全依赖卫星导航信息融合的方案自主性差、完好性难以保证; 而完全利用其它自主导航的方式, 精度也
难以保证, 针对这些问题, 提出了基于混合式架构的多源导航信息自主管理方法. 利用联合故障检测方法, 解决了
对卫星干扰的有效检测, 使完好性得到保证; 设计了基于D–S证据推理的信息优选策略, 针对典型无人机任务场景
进行了仿真分析, 结果表明信息优选策略降低了多故障检测方法同时应用的虚警率, 提高了导航精度. |
| 英文摘要 |
| A hybrid architecture based multi-sensor self-manage method is developed, since the autonomy and integrity
of the information fusion strategy, which fully depends on the global navigation satellite system (GNSS), can not be guaranteed,
while as the accuracy of the other autonomous navigation methods. The GNSS jam detection problem is solved
by utilizing the joint failure diagnose method, so the integrity is satisfied. An information optimization strategy which is
based on the D–S evidence reasoning theory is proposed. A simulation analysis is carried out towards typical scenes of the
unmanned aircraft vehicle (UAV) missions. The experiments show that the information optimizing strategy can effectively
reduce the false alert rate when multiple failure detection methods are simultaneously used, and the navigation accuracy is
improved. |
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