Title :
Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation [Lecture Notes]
Author :
Faragher, Ramsey
Author_Institution :
Adv. Technol. Centre, BAE Syst., Chelmsford, UK
Abstract :
This article provides a simple and intuitive derivation of the Kalman filter, with the aim of teaching this useful tool to students from disciplines that do not require a strong mathematical background. The most complicated level of mathematics required to understand this derivation is the ability to multiply two Gaussian functions together and reduce the result to a compact form.
Keywords :
Gaussian processes; Kalman filters; teaching; Gaussian functions; Kalman filter; intuitive derivation; mathematics; teaching; Gaussian processes; Kalman filters; Mathematics;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2012.2203621