UnscentedKalmanFilterOD Object

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The UnscentedKalmanFilterOD object provides algorithms for performing Orbit Determination and State Estimation using the Scaled Unscented Transformation and non-linear filtering techniques. Like the traditional Kalman Filter, the UnscentedKalmanFilterOD object allows observations to be processed sequentially, and potentially in real-time. The advantage of an Unscented Kalman Filter is that it propagates the covariance of the state using the full non-linear motion model. A group of representative “sigma points” are selected to approximate the covariance at a given epoch; these sigma points are then propagated through the non-linear force model to the subsequent epoch and the covariance is reconstructed. Furthermore, measurement partial derivatives are not required; the measurement sensitivities are computed based on the predicted measurements for each of the sigma points. This creates a filter that provides more realistic covariance propagation and more robust convergence.  See the Orbit Determination Guide for more information.


Inheritance Hierarchy: Object->ODEstimationProcess->SequentialFilter->KalmanFilterOD->UnscentedKalmanFilterOD


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Timing Precision Mode

This page describes functionality in millisecond timing precision mode.

Click here to see the documentation for this object in nanosecond timing precision mode.






Deprecated Methods



See also

Orbit Determination Guide