MATLAB Code Implementation of Kalman Filter
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In this document, we discuss the application of the Kalman Filter – a widely used filtering technique for estimating system states. To thoroughly understand the principles and functionality of the Kalman Filter, we will create a filter model using Simulink and implement the filter algorithm through a corresponding .m file. The implementation covers key components such as state prediction, measurement update, and covariance calculations using MATLAB's matrix operations. Through this combined approach of model simulation and code implementation, learners will master Kalman Filter utilization techniques and achieve improved results in practical applications.
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