Fast data fusion method for MGNC integrated navigation system

To reduce the computation time of the integrated navigation, an improved algorithm was proposed without model state vector reduction for the micro guidance navigation and control (MGNC) system. The direction cosine matrix was deserved by iterative computation instead of using quaternion as an intermediary. The measurement correction was processed one by one to avoid computing the matrix reciprocal. A triple elements method was proposed based on the sparseness of the transformation matrix while calculating the covariance matrix forecast equation. Mathematical simulation and experiment show that the improved algorithm can provide the same accuracy as the traditional method for navigation and can reduce the filtering calculation time by 34.50%. The method can improve the robustness of the MGNC system and is quite useful in practical application.