REGISTRATION AND TARGET TRACKING FOR MULTIPLE AIRBORNE MOBILE PLATFORMS AND SENSORS WITH EXTENDED KALMAN FILTER

The problem of registration and target tracking for multiple airborne mobile platforms and sensors based on extended Kalman filter (EKF) in a fusion system is considered. First, the algorithm of coordinate conversion of airborne mobile sensor registration is given. Then, the sensor registration errors are incorporated into an augmented dynamic model and the EKF method is used to estimate both the registration errors and system states simultaneously. Finally, computer simulations are used to show the effectiveness of the proposed sensor registration algorithm.