Before too long, we will be relieved of the burden of long-distance driving. Given the desired destination and access to a mapping system, electronic control and navigation algorithms will select the ...

So far we have seen how linear Kalman filters are designed and how they perform when the real world can be described by linear differential equations expressed in state-space form and when the ...

This book discusses mathematical approaches to the best possible way of estimating the state of a general system. Although the book is firmly grounded in mathematical theory, it should not be ...

The Kalman filter has become a cornerstone in the design of tracking loops for Global Navigation Satellite System (GNSS) receivers, offering optimal state estimation by combining dynamic models with ...

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 ...