适应性容错联合卡尔曼波器,用于多传感器集成导航系统
Guangle Gao1, Guoqing Li1, Yingmin Yi1
1School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
本研究介绍了用于航空航天导航系统的适应性故障耐受性联合卡尔曼波器 (AFTFKF). AFTFKF增强了对测量异常值的稳定性,以确保可靠的全天候导航.
科学领域:
- 航空航天工程 航空航天工程
- 导航系统 导航系统
- 控制理论 控制理论
背景情况:
- 自主航天导航需要强大的系统,适应所有天气条件.
- 综合导航系统 (INS/SRNS/CNS) 容易受到测量异常值的影响.
- 现有的方法在缓慢和突然的异常值方面都很困难.
研究的目的:
- 开发一种适应性耐故障联合卡尔曼波器 (AFTFKF).
- 提高INS/SRNS/CNS集成导航系统对测量异常值的稳定性.
- 确保可靠的全天候跨域航空航天导航.
主要方法:
- 引入了一个使用最大概率估计 (MLE) 和顺序概率比测试 (SPRT) 缓慢异常值的噪声估计器.
- 为突发异常值设计了一种基于双剩余的奇平方测试 (DCST) 信息因子.
- 将SPRT-MLE和DCST集成到一个联合的卡尔曼波器框架中,以创建AFTFKF.
主要成果:
- 拟议的AFTFKF在模拟中表现出卓越的准确性.
- 在存在测量异常值的情况下,AFTFKF显示出强大的稳定性.
- 实现了缓慢增长和突然异常值的有效缓解.
结论:
- AFTFKF为集成航空航天导航提供了强大的解决方案.
- 该方法在不利的测量条件下提高了系统可靠性.
- 实现了全天候的自主和可靠的跨领域导航能力.
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