- Category:
- mathematica
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- File Size:
- 1kb
- Update:
- 2017-12-20
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- Uploaded by:
- 段洋
Description: To realize the prediction and tracking of two dimensional state variables. It includes the initialization function of Kalman filter, which is responsible for initializing the value of state variables, process noise, measurement noise, and state transfer matrix. Kalman filter function is responsible for iterative filtering of state variables. The whole process includes state prediction, covariance prediction, measurement and prediction, computing Kalman gain, updating state variables and updating covariance.
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| Filename | Size | Date |
|---|
| KalmanFilter.c | 4161 | 2017-11-21
|
| KalmanFilter.h | 454 | 2017-11-21 |
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