Abstract:In order to improve the vehicle moving alignment accuracy of the strapdown inertial navigation system, the moving initial alignment algorithm is proposed based on the nonlinear GaussHermite filter (GHF) with the strong tracing and dimensionality reduction. Based on OD aiding, the horizontal attitude error of coarse alignment is a small angle, and the SINS moving initial alignment model is simplified to be large azimuth misalignment angle nonlinear model. Based this model, the dimensionality of nonlinear GaussHermite filter can be reduced, the status of the system can be estimated with a few nonlinear integral points, and the amount of calculation decrease. Also, the strong tracing method is applied to improve the tracking ability of the mutation filter status. With the experiment, the GaussHermite nonlinear moving alignment scheme with the strong tracing and dimensionality reduction can improve the precision of the moving alignment, decrease the amount of calculation and improve the stability of the filtering.