Motion State Prediction by Unaided Inertial Micro-Machined Accelerometers

摘要

Estimating motion velocity state is crucial in dealing with inertial navigation systems (INS) or in situations where backing of an INS by other technologies is difficult or impossible. This study therefore investigates time sequences delivered by embedded inertial sensors in order to draw conclusions about the motion state of moving objects. Various probability tests were evaluated by a simple but typical measurement setup to assess robustness against random walk fluctuations and behavior in the constant velocity state, in order to detect transition from standstill to motion and vice versa. Our investigations end with a proposal for advanced motion state estimation algorithms, where different statistical approaches have been combined.