Research Article
Three-Axes Mems Calibration Using Kalman Filter and Delaunay Triangulation Algorithm
Table 1
The outline of transformed unscented Kalman filter.
| (1) Initializing | Variables pertaining to the state and the square root (sr) of the error covariance matrix | | Points for Sigma | |
| (2) Prediction (time update) | TUKF cubature points after transformation | | Sample propagation points | | State prediction | | SR-error covariance matrix prediction | |
| (3) Measurement update | TUKF predicted converted cubature points | | Sample propagation points | | Predicting measurement | | Update of Sr-innovation covariance matrix | | Update of cross-covariance matrix | | Updating the Kalman gain | | Updating the states | | Update Sr-error covariance matrix | |
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