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。 It is estimated that the systematic error of radar plays an important role in the application of multi-sensor data fusion. Using the data link communication and clock synchronization functions, a system error estimation algorithm based on interactive collaboration is designed. The algorithm assumes that the combined navigation equipment of the aircraft can provide high-precision position information and estimate the radar system error by using a Kalman filter. Kalman filters are recursive and very efficient. The simulation results show that the algorithm has excellent convergence performance and can work normally in various calculation cycles and communication bandwidths.