基于错误反向传播的惯性传感器在线校准
Vojtech Simak1, Jan Andel1, Dusan Nemec1
1Department of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 010 26 Žilina, Slovakia.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
本研究介绍了使用全球导航卫星系统 (GNSS) 数据对惯性传感器进行在线校准. 这种方法提高了车辆定位的准确性,特别是当GNSS信号差或不可用时.
科学领域:
- 工程 工程师 工程师 工程师
- 地理学就是地质学.
- 计算机科学 计算机科学
背景情况:
- 全球导航卫星系统 (GNSS) 主要用于户外车辆定位,但在城市峡谷和道中失败.
- 惯性导航系统 (INS) 提供死亡计算,但遭受积累的集成错误.
- 低成本的惯性测量单元 (IMU) 呈现热漂移,需要经常校准.
研究的目的:
- 开发一种使用GNSS数据进行惯性传感器在线 (连续) 校准的新方法.
- 在GNSS信号质量间歇或差的环境中提高车辆定位精度.
主要方法:
- 数据融合使用扩展卡尔曼波器 (EKF) 进行.
- 惯性传感器通过错误反向传播进行校准.
- 该系统在GNSS接收良好时校准INS传感器,并在GNSS中断时使用INS预测位置.
主要成果:
- 拟议的在线校准方法显著提高了定位精度.
- 与使用相同传感器的离线校准惯性定位相比,性能优越.
- 该算法有效地处理GNSS信号退化和故障场景.
结论:
- 使用GNSS数据对惯性传感器进行在线校准是一种可行的和有效的方法.
- 这种方法提高了车辆定位系统的稳定性和准确性.
- 该方法为在道和城市地区等具有挑战性的环境中进行导航提供了实际的解决方案.
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