Publication | Closed Access
A novel simplex unscented transform and filter
15
Citations
8
References
2007
Year
Unknown Venue
State EstimationAdaptive FilterMachine VisionNew FilterEngineeringFiltering TechniqueFilter (Signal Processing)Novel SimplexLess Compute ConsumptionInverse ProblemsComputational RequirementsSignal ProcessingFilter Design
In this paper, we propose a new simplex unscented transform, and a new filter - Modify Unscented Kalman Filter (MUKF) based on this transform. It has less compute consumption than UKF, SUKF [1] and EKF[2]; Computer simulation show that this filter has the same performance as UKF and SUKF; and we analysis the computational requirements of EKF, UKF and SUKF in detail, so this filter has preferable practicality value.
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