The Kalman filter is a set of mathematical equations that provides an efficient computational

[recursive] means to estimate the state of a process, in a way that minimizes

the mean of the squared error. The filter is very powerful in several aspects:

it supports estimations of past, present, and even future states, and it can do so even

when the precise nature of the modeled system is unknown.