A Satellite Attitude Fusion Estimation Algorithm based on Antenna Measurement Information

This paper proposes a new algorithm for joint attitude estimation based on satellite-borne antenna information, which extracts the information used to estimate the satellite attitude from antenna reception signal and establishes the linear measurement residual model based on the attitude error quaternion. By employing the antenna measurement to satellite attitude estimation system which includes gyros and infrared horizon sensors, the joint observation equation is established, and Kalman filter method applies to accomplish fusion estimation of satellite attitude. The simulation results show that the antenna residual model can effectively improve satellite attitude accuracy and gyro drift estimation accuracy.