Time Registration Algorithm Based on Adaptive Kalman Filtering

For the system of multi-sensor data fusion, it is difficult to know the properties of kinematic noise and measurement noise in the time registration. To solve these problems, time registration algorithm based on adaptive Kalman filtering is proposed. This algorithm uses the adaptation to estimate the properties of kinematic noise and measurement noise, and thus preprocesses the sampling data before time registration. Experimental results show that this algorithm has better numerical stability, larger dynamic range, and stronger adaptability. It improves the accuracy of the time registration.