在GNSS观测条件不足的情况下,研究一种低成本IMU/多普勒集成速度估计方法
Yinggang Wang1, Hongli Zhang1, Kemeng Li1
1College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
这项研究将全球导航卫星系统 (GNSS) 的多普勒数据与惯性测量单元 (IMU) 的态度融合在一起,以改善导航. 该方法在弱GNSS条件下提高速度准确性和连续性,即使只有两个卫星可见.
科学领域:
- 导航系统工程 导航系统工程
- 卫星导航 卫星导航 卫星导航 卫星导航
- 惯性导航 惯性导航 惯性导航
背景情况:
- 松散合 (LC) GNSS/IMU集成依赖于完整的GNSS解决方案,在<4颗卫星的情况下失败.
- 在GNSS中断期间,IMU错误积累导致导航故障.
研究的目的:
- 在LC框架中将GNSS多普勒观测与IMU态度合并.
- 为了使3D速度估计在有限的卫星可见性 (≥2颗卫星).
- 在弱GNSS条件下增强导航稳定性和连续性.
主要方法:
- 引入了一个卫星间差异多普勒模型.
- 用IMU态度将多普勒衍生速度转换为导航框架.
- 使用信号与噪声比 (SNR) 和几何因子 (SDV,RMD) 分析了真实车辆数据.
主要成果:
- 速度准确性主要由SNR和SDV和RMD之间的几何关系主导.
- 一个多因素值策略 (SNR>40, SDV·RMD >0.2) 产生了~0.3 m/s 速度误差 RMS.
- 在特定条件下,数据保留率超过44%.
结论:
- 多普勒-IMU融合方法提高了LC系统中的速度稳定性和定位连续性.
- 该方法保持了简单的系统结构,以实现低成本,可靠的集成导航.
- 适用于GNSS条件较弱,独立定位无法实现的情况.
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