中文摘要：

估计雷达的系统误差对多传感器数据融合应用具有重要作用。使用数据链系统的通信和时钟同步功能，设计了一种基于交互协作的系统误差估计算法。算法假设飞机的组合导航设备能提供高精度的位置信息，通过使用Kalman滤波器对雷达系统误差进行估计。Kalman滤波器是递归形式，非常高效。通过仿真验证，算法的收敛性能优良，在各种计算周期和通信带宽上都能正常工作。

英文摘要：

It＇s very important for multi-sensor data fusion application to correctly estimate the radar system errors. Utilizing the communication and clock synchronization function of data link network, a interactive and collaborative algorithm was introduced. It＇s assumed that high precision position information can be provided by compound navigation system on the plane. So the radar system errors can be calculated by Kalman filter. Kalman filter has recursive and very effective structure. Through simulation validation, the convergence performance of such algorithm is very good, and can be used in many communication bandwidth and calculation oeriod conditions.