SINS Linear Initial Alignment under Quasi-static Conditions with Large Misalignment
DI Jing-bo,CHANG Lu-bin (Electrical Engineering College, Naval University of Engineering, Wuhan 430033, China) Abstract: This paper is devoted to investigating the quasi-static base strapdown inertial navigation system (SINS) large misalignment angle initial alignment making use of linear Kalman filtering. According to the Lie theory, if a model is a group affine model, its linear error model is independent of the state estimate, and the nonlinear state error on the group manifold can be exactly recovered from the linear error. It is pointed out that under quasi-static conditions, the SINS attitude differential equation satisfies th