基于雷达测距和测速的 GEO 目标实时关联算法

In order to address the issue of error correction of the geosynchronous orbit (GEO) targets under the dense track, a real-time correlation algorithm for the GEO targets based on the two-dimensional of radar range and velocity measurement was developed. Firstly, the initial target set is established by using two lines elements (TLE). Then, the rough-correlation threshold is set according to the diffusion law of orbit prediction error of the space targets, and the secondary correlation target set is obtained. Finally, the correlation result is obtained using the idea of the minimal normalized weighted root mean square error, and the secondary correlation cost function is built based on the characteristics of high-accuracy radar range and velocity measurement. The simulation results show that the algorithm achieves a better correlation effect under the condition of dense target tracks, and has a higher correlation accuracy.