A two-position initial alignment algorithm based on RLS estimation

Abstract In response to the need for an inertial navigation system with a rotation modulation function to achieve accurate alignment in a short time, an alignment method based on recursive least squares (RLS) and using two-position alignment is proposed. This method first simplifies the correlation equation between error velocity and attitude misalignment angle and the zero bias of the inertial measurement unit (IMU) and uses RLS to estimate and analyze the initial target alignment error parameters. Then, iterative optimization is used to further refine the error parameters. Finally, it is verified through simulation experiments. The results show that in the case of initial alignment in a short time, this method is correct and reasonable.