一个改进的立方卡尔曼波器用于GNSS拒绝和系统噪声变化的INS/GNSS导航
Di Liu1,2, Xiyuan Chen1, Bingbo Cui3
1Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
这项研究引入了改进的立方卡尔曼波器 (ICKF),以增强惯性导航系统/全球导航卫星系统 (INS/GNSS) 集成. ICKF有效地减轻了GNSS数据缺失和系统噪声不确定性引起的性能下降.
科学领域:
- 导航系统工程 导航系统工程
- 信号处理 信号处理
- 控制理论 控制理论
背景情况:
- 惯性导航系统/全球导航卫星系统 (INS/GNSS) 的整合对于准确的定位至关重要.
- 由于缺少GNSS观测和系统噪声不确定性,性能下降发生.
- 现有的非线性过方法在这些场景中面临挑战.
研究的目的:
- 为了解决INS/GNSS集成导航过器的退化问题.
- 提出一个改进的立方卡尔曼波器 (ICKF) 以提高强度.
- 为了减少对缺失GNSS数据和系统噪声不确定性的敏感性.
主要方法:
- 开发了一种改进的立方卡尔曼波器 (ICKF).
- 使用修改后的立方度点更新框架 (MUF).
- 集成了最大概率 (ML) 原则,用于实时过程噪声共变率估计.
主要成果:
- 该ICKF有效地估计了实时的过程噪声共变性.
- 拟议的方法绕过了重新采样的需要.
- 对缺失的GNSS观测和系统噪声不确定性的敏感性降低.
- 通过模拟和实践实验的验证证实了有效性.
结论:
- ICKF为INS/GNSS集成导航提供了一个强大的解决方案.
- 该方法在具有挑战性的条件下提高了过性能.
- ICKF提高了导航系统面临数据丢失和噪声的可靠性.
更多相关视频
06:45Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
09:36Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
Published on: June 25, 2021
相关概念视频
Errors in Global Positioning System
Types of Global Positioning System Surveys
Field Application of Global Positioning System
Introduction to Global Positioning System
Linear Approximation in Frequency Domain
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
Propagation of Uncertainty from Systematic Error
