A simple derivation of the Kalman filter

📅 2026-09-02
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🤖 AI Summary
本文通过简化的方法推导了离散时间卡尔曼滤波方程,仅需基本的最小二乘估计知识,减少了数学复杂性同时保持了严谨性和通用性。
📝 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.
Problem

Research questions and friction points this paper is trying to address.

Kalman filter
least squares estimation
discrete-time
Innovation

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Kalman filter
least squares estimation
discrete-time
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