Estimation and Registration of Relative System Biases in Fire-Control Radar Network

Fire-control radar network uses data fusion to form more accurate estimate of a target track, the prerequisite of normal data fusion is the system bias registration. In fire-control radar network, due to the existence of the approximating bias of coordinate conversion model and time synchronization bias, data fusion process brings the immitted system biases besides inherent system biases. This paper developed a system bias registration method based on Kalman filtering theory. The inherent system bias and immitted system bias are considered for modeling. The simulation results are presented and discussed. It is found that the method given in this paper is in effect.