ABSTRACT
There is a recent trend in applying MEMS sensors in micro-satellite attitude determination. Considering MEMS sensors’ large bias drift and noise, a Multiplicative Extended Kalman Filter (MEKF) has been designed to estimate a micro-satellite’s attitude, based on a series of measurement models of MEMS sensors in this paper. Simulation results show that this algorithm performs well in estimating micro-satellite’s attitude information; even though there is an initial error it achieves better accuracy when compared to traditional methods. Moreover, it reduces computation load which is significant for micro-satellite practical missions.
