A simple derivation of the Kalman filter
Marco Chiani, Giovanni Petris, Moe Z. Win
Abstract
In this lecture note, we present a concise and self-contained derivation of the discrete-time Kalman filter equations that requires only a basic understanding of least squares estimation. The treatment is designed to minimize mathematical overhead while preserving both rigor and generality.
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