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Understanding Kalman Filters, Part 4: Optimal State Estimator Algorithm

Discover the set of equations you need to implement a Kalman filter algorithm. You’ll learn how to perform the prediction and update steps of the Kalman filter algorithm, and you’ll see how a Kalman gain incorporates the predicted state estimate (a priori state estimate) and the measurement in order to calculate the new state estimate (a posteriori state estimate). Download examples and code - Design and Simulate Kalman Filter Algorithms: Watch other MATLAB Tech Talks: Get a free Product Trial: More Kalman Filter Resources:

Part 1: Why Use Kalman Filters?

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