Real - Time Sequential Kalman Filter Sensor Registration Algorithm

A real-time sequential Kalman filter (RTSKF) registration algorithm is presented to correct the dynamic systematic errors based on local tracks. It is accomplished by constructing pseudomeasurements of the sensor biases with additive zero-mean, white noises. Then the sensor bias estimates are obtained dynamically by using sequential process of Kalman filter. Finally, Monte Carlo simulations are employed to evaluate the performance of the proposed algorithm.