雷达系统误差的配准方法受公共目标选取、目标运动预测、异步时间对齐等因素的影响,在实际应用中受到较大限制。利用数据链网络的通信功能和时间同步功能,论文提出了一种协同的配准算法,利用飞机自身构造的虚拟坐标系,获得配准的高精度基准源,实现对雷达的有效系统误差估计。算法基于Kalman滤波器实现,对存储和计算能力要求不高并具有良好的收敛性能,其估计精度较好,而且对采样周期没有要求,符合数据链和战术互联网的实际传输要求。 Radar system error registration method by the public target selection, target motion prediction, asynchronous time alignment and other factors, is subject to greater restrictions in practice. Utilizing the communication function and time synchronization function of data link network, a collaborative registration algorithm is proposed in this paper. By using the virtual coordinate system constructed by the aircraft itself, a high precision reference source is obtained and an effective system error estimation is achieved. The algorithm is based on Kalman filter. It does not require high storage and computing power and has good convergence performance. Its estimation accuracy is good, and there is no requirement for sampling period, which is in line with the actual transmission requirements of data link and tactical Internet.