Title

Teaching Kalman Filters to Undergraduate Students

Document Type

Conference Paper

Publication Date

2001

Conference/Sponsorship/Institution

American Society for Engineering Education Annual Conference Proceedings

Location

Albuquerque, NM

Department

Electrical Engineering

Abstract

The Kalman filter algorithm is one of the most common estimation techniques used today, yet generally engineers do not encounter it until they have begun their graduate or professional careers, even though the concepts necessary to understand it are introduced to sophomore engineering students. This paper presents an approach intended to take undergraduate students from the concept of an average to Kalman filters in a half dozen small steps. Using MATLAB or MathCAD provides some advantages in teaching the Kalman algorithm since in those languages the algorithm can fit on two pages even with extensive commenting, and the syntax of these languages does not obscure the structure of the algorithm.

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