It is a weighed average of the propagated uncertainty of a state and the uncertainty of a measurement of that state. If you walk towards a wall with your eyes closed as time on you will be less and less certain where you are (prediction steps) then when your fingers touch the wall you will suddenly be much more certain where you are (measurement update). The linear algebra is just how you calculate the weights for a linear dynamical system with gaussian noise.