We propose an efficient offline pointing calibration method for operational antenna systems which does not require any downtime. Our approach minimizes the calibration effort and exploits technical signal information which is typically used for monitoring and control purposes in ground station operations. Using a standard antenna interface and data from an operational satellite contact, we come up with a robust strategy for training data set generation. On top of this, we learn the parameters of a suitable coordinate transform by means of linear regression. In our experiments, we show the usefulness of the method in a real-world setup.

翻译：我们提出一种用于运行中天线系统的高效离线指向标定方法，该方法无需任何停机时间。我们的方法最大限度地减少了标定工作量，并利用了地面站操作中通常用于监测与控制目的的技术信号信息。通过使用标准天线接口和来自运行中卫星接触的数据，我们提出了一种鲁棒的训练数据集生成策略。在此基础上，我们通过线性回归学习合适坐标变换的参数。在实验中，我们在真实场景设置中验证了该方法的有效性。