适应式导航性能评估方法用于具有未知时间变化传感器噪声的民用飞机导航系统
Yuting Dai1, Jizhou Lai1, Qieqie Zhang1
1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, No. 29 General Avenue, Nanjing 211106, China.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
本研究引入了一种适应方法,以提高飞机导航准确度. 通过增强位置估计共变矩阵 (PECM) 估计,它确保了更安全的民用航空航班和可靠的实际导航性能 (ANP) 评估.
科学领域:
- 航空 航空 航空 航空 航空
- 导航系统 导航系统
- 航空航天工程 航空航天工程
背景情况:
- 准确的实时导航监控对于民用航空安全至关重要.
- 飞行管理系统 (FMS) 依赖于实际导航性能 (ANP) 来确定位置估计的不确定性.
- 目前的ANP评估准确性受到未知噪声下的位置估计共变矩阵 (PECM) 估计的限制.
研究的目的:
- 为了解决ANP错误估值,这是由于传统模型中PECM估计的不准确造成的.
- 为改善导航系统性能提出一个自适应的PECM估计方法.
- 提高ANP评估的准确性,以确保飞行安全.
主要方法:
- 开发了一种使用变量贝叶斯 (VB) 的自适应PECM估计方法.
- 整合了拟议的自适应PECM方法与一个新的3DANP模型.
- 评估了该方法在变化时间的噪声条件下提高ANP准确性的有效性.
主要成果:
- 适应性PECM估计方法显著提高了ANP评估准确性.
- 拟议的3D ANP模型提高了导航性能评估的可靠性.
- 该方法有效地处理未知时间变化的噪声,这是导航系统中常见的挑战.
结论:
- 适应性PECM估计方法为ANP错误评估提供了一个强大的解决方案.
- 提高ANP准确性直接有助于提高导航完整性和飞行安全.
- 这项研究为民用航空中的空载综合导航系统提供了宝贵的进步.
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