Estimation of the attitude of a rolling missile based on strong tracking filter

A scheme to estimate the flight attitude of a rolling missile based on strong tracking filter (STF) was proposed. To get the attitude of an experimental missile, a telemetry scheme based on two-axis liquid-driven rate gyroscope was studied. The telemetric data was processed by STF to reconstruct the attitude of missile, thus offering a basis for further analysis on the flight dynamics performances and the effectiveness of the control and guiding system. Using the dynamic attitude model of low rate rolling missile, a group of iterative filter equations based on sub-optimal multi-fading extended Kalman filter (SFEKF) were educed. With the robustness to model unfitness and the strong tracking ability to state variety, the SFEKF was introduced to improve the precision of attitude estimation. Simulation example shows the effectiveness of proposed algorithm.