关于GNSS信号中断对EOP解决方案的影响的数值分析,使用紧密合的GNSS/IMU集成:瑞典的一个模拟案例研究
Arash Jouybari1, Mohammad Bagherbandi1,2, Faramarz Nilfouroushan1,3
1Faculty of Engineering and Sustainable Development, University of Gävle, SE-80176 Gävle, Sweden.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
将全球导航卫星系统 (GNSS) 与惯性测量单元 (IMU) 集成,可以提高定位精度. 一个光滑算法显著提高了准确性,并减轻了GNSS信号中断,提高了稳定性.
科学领域:
- 地理学工程 工程地质学
- 卫星导航系统 卫星导航系统
- 惯性导航 惯性导航 惯性导航
背景情况:
- 独立的全球导航卫星系统 (GNSS) 接收器由于不可靠的信号而遭受了降低的定位稳定性.
- 惯性测量单位 (IMU) 经常与GNSS集成,以提高定位精度.
研究的目的:
- 用前置卡尔曼波器和光滑算法分析紧密合的GNSS/IMU集成的性能.
- 调查模拟GNSS信号中断对外部定向参数 (EOP) 的影响.
主要方法:
- 紧密结合的GNSS/IMU集成. 紧密结合的GNSS/IMU集成.
- 前进卡尔曼波器和光滑算法应用.
- 使用单个和网络GNSS站的后处理动力学 (PPK) 方法.
- 模拟的GNSS信号中断场景.
主要成果:
- 调整算法提高了北方,东方和方向的定位不确定性 (RMSE) 17-43%.
- 方向不确定性 (滚动,俯冲,方向) 降低了大约60%.
- 对于高达180秒的信号中断,光滑算法相比前向卡尔曼波器,相应地提高了高达95%和60%的位置和方向不确定性.
结论:
- 紧密结合的GNSS/IMU集成与平滑算法显著提高定位和定位准确性.
- 滑算法有效地减轻了GNSS信号中断的负面影响,提高了系统的稳定性.
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