全球导航卫星系统应用
惯性测量装置
计算机科学
惯性导航系统
卫星
全球导航卫星系统增强
实时计算
轨道(动力学)
卫星导航
卫星系统
全球定位系统
传感器融合
指南针
北斗卫星导航系统
导航系统
空中航行
遥感
惯性参考系
计算机视觉
地理
电信
航空航天工程
工程类
物理
地图学
量子力学
作者
Nabil Jardak,Quentin Jault
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2022-03-25
卷期号:22 (7): 2541-2541
被引量:35
摘要
Resilient navigation in Global Navigation Satellite System (GNSS)-degraded and -denied environments is becoming more and more required for many applications. It can typically be based on multi-sensor data fusion that relies on alternative technologies to GNSS. In this work, we studied the potential of a low earth orbit (LEO) satellite communication system for a high-dynamic application, when it is integrated with an inertial measurement unit (IMU) and magnetometers. We derived the influence of the main error sources that affect the LEO space vehicle (SV) Doppler-based navigation on both positioning and attitude estimations. This allowed us to determine the best, intermediate and worst cases of navigation performances. We show that while the positioning error is large due to large orbit errors or high SV clock drifts, it becomes competitive with that of an inertial navigation system (INS) based on a better quality IMU if precise satellite orbits are available. On the other hand, the attitude estimation tolerates large orbit errors and high SV clock drifts. The obtained results suggest that LEO SV signals, used as signals of opportunity for navigation, are an attractive alternative in GNSS-denied environments for high dynamic vehicles.
科研通智能强力驱动
Strongly Powered by AbleSci AI