Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (12): 4183-4191.doi: 10.12305/j.issn.1001-506X.2024.12.27

• Guidance, Navigation and Control • Previous Articles    

Navigation method using angle/velocity measurement based on GPR-UKF

Shoujian ZHANG1,2, Mingzhen GUI1,2,*   

  1. 1. School of Automation, Central South University, Changsha 410083, China
    2. Key Laboratory of Smart Earth, Beijing 100029, China
  • Received:2024-01-30 Online:2024-11-25 Published:2024-12-30
  • Contact: Mingzhen GUI

Abstract:

In astronomical velocity measurement navigation with the Sun as the target source, there are many outliers in Doppler velocity measurement, which seriously affects the accuracy of navigation. Thus, a outlier detection and repair method based on Gaussian process regression and unscented Kalman filtering (GPR-UKF) is proposed to establish a dynamic prediction model for velocity measurement. In addition, the impact of different parameters on the accuracy of the model is researched. Simulation verification test demonstrates that the proposed method has better performance than traditional outlier processing methods.

Key words: integrated navigation, Gaussian process regression (GPR), unscented Kalman filtering (UKF), solar Doppler velocity, starlight angle pitch, outlier processing

CLC Number: 

[an error occurred while processing this directive]