Sensors (Oct 2019)

Improved Multistage In-Motion Attitude Determination Alignment Method for Strapdown Inertial Navigation System

  • Haiyan Qiao,
  • Meng Liu,
  • Hao Meng,
  • Mengjun Wang,
  • Wei Ke

DOI
https://doi.org/10.3390/s19204568
Journal volume & issue
Vol. 19, no. 20
p. 4568

Abstract

Read online

This paper derives an improved multistage in-motion attitude determination alignment (IMADA) for strapdown inertial navigation system, which integrates the traditional IMADA and the designed dual velocity-modeling IMADA, as well as the multiple repeated alignment process, to address the principled model errors and the calculation errors of traditional V b -aided IMADA. With the proposed algorithm, not only the designed drawbacks of traditional V b -based IMADA can be solved, but also the degradation phenomenon of high-level alignment for multistage IMADA would be largely less. Moreover, the degradation of the alignment accuracy with the vehicle velocity is also removed. Finally, the 30 groups of car-mounted experiments and the Monte Carlo simulation experiments with the navigation-grade SINS are carried out to demonstrate the validity of the proposed algorithm. The results show that the number of the heading degradation of the second-level alignment is reduced to 10 as compared the traditional number 20. Moreover, the alignment accuracy of heading is improved by 23%. Even with the different speeds of 20 m/s, 60 m/s, 80 m/s, the heading alignment accuracies are 1.3063°, 1.3102°, 1.3564° and are still almost the same.

Keywords