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Stationary KF
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_posts/2025-08-1-Square_root_Kalman_filter.md

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tags: [atmospheric modeling, kalman filter]
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## Introduction -- the Kalman Filter without update model
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## Introduction -- the stationary Kalman Filter
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Consider we have access to observations $\mathbf{y}\_\mathrm{obs} \in \mathbb{R}^{m}$ and they are due to some linear operator acting on a 'hidden state' $\mathbf{x}\_\mathrm{true}\in\mathbb{R}^{n}$ with added noise $\mathbf{e}$ like
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\begin{align}
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\mathbf{y}\_\mathrm{obs} = \mathbf{H}\mathbf{x}\_\mathrm{true} + \mathbf{e},\tag{1}\label{eq:obsmodel}

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