中文摘要：

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，其估计精受较好，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。

英文摘要：

Affected by public target selection, target motion estimation and asynchronous time align- ment, radar system error registration algorithm is greatly constrained in application. Using the communication and time synchronization functions of data link network, a collaborative registration algorithm was proposed, which constructs a virtual coordinate system by airplane to get high precision measurement source and realize effective estimation of radar system error. The algorithm is based on Kalman filter, so the need for memory and calculation capability is not high. Through simulation, algorithm has good convergence performance, the estimation precision is good. What＇s more, it has no constraint on sample period, which perfectly accords with transfer principle of data link and tactical internet network.