Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (8): 2521-2532.doi: 10.12305/j.issn.1001-506X.2023.08.27

• Guidance, Navigation and Control • Previous Articles     Next Articles

Field calibration method of full state variables for strapdown inertial navigation system

Rui ZHANG, Yueyang BEN, Liqiang LIU, Kun WANG, Liang HOU, Tian QIU   

  1. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2022-06-21 Online:2023-07-25 Published:2023-08-03
  • Contact: Yueyang BEN

Abstract:

The field calibration of strapdown inertial navigation system usually uses the system-level calibration method. Since the state variables which have small observability degrees cannot identify the estimation error parameters by Kalman filter, a calculation method which is observability degree based on the orthogonal basis of state quantity is proposed, and a transposition scheme to improve the observability of all state variables is designed according to this method. In the process of rotation, the velocity error of the static base inertial navigation is measured at each time, and the Kalman filter is used to identify the error parameters of all quantities of state. The experimental results show that compared with the field calibration results without transposition scheme, the field calibration method can not only improve the observability degrees of the all quantities of state, but also improve the results of system-level calibration, which has good engineering practicability.

Key words: field calibration, linear time-varying system, observability degree, calibration scheme

CLC Number: 

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