The order of the Kalman filter equations for a wide class of aerospace navigation problems is reduced, yielding an optimal sequential linear filter with a substantial decrease in computer requirements. A theorem is proved generalizing the Kalman filter to handle step-wise correlated noise. An illustrative example is then presented in which computer computation time and storage requirements are reduced by more than half with negligible increase in programming complexity.