This paper introduces the fundamental ideas of Kalman filtering, a recursive estimation technique widely used for continuous estimation of the state of a dynamic system. The estimation problem is posed within the well known Hilbert space framework of classical linear analysis. This permits an easily grasped geometric interpretation which is stripped of cumbersome details that tend to obscure the essential notions.