Computer Science
4 years ago

New method simplifies state estimation in nonlinear systems for improved tracking.

State Estimation using Extended Kalman Filter and Unscented Kalman Filter
Priya Shree Madhukar, Lal Bahadur Prasad

Paper Summary

The article discusses using different types of Kalman Filters to estimate the state of a system. The Extended Kalman Filter is good for nonlinear systems, but can be complex. The Unscented Kalman Filter simplifies this by using sigma focus points. This new method helps estimate the state of the system more easily and accurately.

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