Maneuvering-Target Tracking Using the Federated Kalman Filter with Multiple Sensors

연합형 칼만필터를 이용한 다중감지기 환경에서의 기동표적 추적

This paper proposes a federated Kalman filter approach which utilizes information from multiple sensors and variable estimation model. Compared with the decentralized Kalman filter, the algorithm proposed in this paper demonstrates much better tracking performance in both maneuvering and constant velocity movement of the target.