A new 3-D fusion tracking system for an anti-air missile homing system based on radar and imaging sensor is developed. The attitude measurements from the imaging sensor is used to improve the tracking performance. Data fusion techniques are employed to get least-mean-squares estimates. Computer simulation results indicate that the tracking system greatly reduces the tracking errors compared with trackers without attitude measurements

and achieves small miss distances even when the target performs a big maneuver.