中文摘要：

为降低载体上动中通的测控成本，提高其测控精度。本文提出一种利用大型载体上的高精度惯导辅助动中通进行天线校正的传递测控算法。针对大型载体的动态形变导致传递测控产生较大偏差的问题，采用一种利用卡尔曼滤波算法精确估计载体的动态形变以补偿传递测控算法中的动态误差的方法。仿真分析了迭代算法与卡尔曼滤波算法对船体动态形变估计的偏差，并对比分析传递对准姿态与从惯导姿态对参考值的估计误差。对仿真结果进行分析：卡尔曼滤波算法与迭代算法相比对载体动态形变估计更为准确。互补滤波的传递测控算法与从惯导直接测量滤波相比更接近参考值。仿真结果说明：通过传递测控算法利用精确惯导辅助低成本动中通进行精确测控的方法有效可行。

英文摘要：

To reduce cost of the SOTM （satcom on the move） measurement and control,improve measurement and control precision, the paper proposes a transfer algorithm that applies the high- precision inertial navigation system on large carrier to assist SOTM for antenna calibration. For the problem that large transfer measurement and control error will be caused by dynamic deformation of large carrier, a method that uses Kalman filter algorithm to accurately estimate the dynamic deformation of carrier to compensate the dynamic error in transfer algorithm is applied. Simulative analysis is carried out for estimates of dynamic deformation of ship with iterative algorithm and Kalman filter algorithm and contrastive analysis is carried out for estimates of reference value with transfer alignment attitude and inertial navigation attitude. Through analysis on simulation results, it can be found that Kalman filter algorithm has more accurate estimates of dynamic deformation of carrier than iterative algorithm and the transfer algorithm based on complementary filter has value more approximate to reference value than inertial navigation based on direct filter measurement. Therefore, using precise inertial navigation system to assist low-cost SOTM for accurate measurement and control with the transfer algorithm is feasible and effective.