Abstract: The Kalman filter algorithm considers phase unwrapping as state estimate problem. And it can unwrap the phase and eliminate the noise at the same time ...

Abstract: The iterative extended Kalman filter (IEKF) algorithm is dependent on the previous data and estimation accuracy of the noise. The noise will result in filtering precision decrease and ...

A spacecraft attitude kinematics model, attitude measurement model, and filter algorithm are three important parts in spacecraft attitude determination, and a high-precision filtering algorithm is the ...

Our brains track moving objects by applying one of the algorithms your phone's GPS uses, according to researchers at the University of Rochester. This same algorithm also explains why we are fooled by ...

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...

So far, we have assumed we had perfect state information. That is, we could observe the state perfectly. In practice, this isn't always true. For instance, we don't typically know the true position of ...