A Kalman Filter Primer

By: Randall L. Eubank

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eText | 29 November 2005 | Edition Number 1

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System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise. However, when inundated with theory and vast notation