What many don&#x27;t know about Kalman Filters (and took me a while to realize as well) is that it&#x27;s just recursive least squares.<p>It is just formulated a bit differently such that incremental update complexity depends of the dimensionality of the observation, not the dimensionality of the estimated state. Depending on the dimensions this can be a lot more efficient.