Elementary Intro to Kalman Filtering

A method we used actively, for sensor networks, here also an pointer to lots of introductions, including the ACM article.

An Elementary Introduction to Kalman Filtering
Demystifying the uses of a powerful tool for uncertain information.
By Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali

Communications of the ACM, November 2019, Vol. 62 No. 11, Pages 122-133
10.1145/3363294

Kalman filtering is a state estimation technique used in many application areas such as spacecraft navigation, motion planning in robotics, signal processing, and wireless sensor networks because of its ability to extract useful information from noisy data and its small computational and memory requirements.12,20,27,28,29 Recent work has used Kalman filtering in controllers for computer systems.5,13,14,23 ... "