Point ahead angle (PAA) prediction is important in space laser communication, but the existing methods have low accuracy and complicated calculation processes. In this paper, a new PAA prediction method is proposed based on Kalman filtering of the optical axis pointing trajectory. The proposed method uses the high precision of fine tracking to improve the accuracy of predictive filtering. Taking ground-satellite laser communication as the research background, the beam transmission process in a typical acquisition, pointing, and tracking (APT) system is derived, then the Kalman filter model is established, and a simulation of the model is performed. The results show that the PAA can be predicted accurately and the error of the PAA can be reduced effectively the maximum prediction error is 3.8 μrad only, and the method does not need to take the complex satellite perturbations into consideration. The proposed approach improves the accuracy of PAA prediction and contributes to the design of space laser communication systems.

提前角（PAA）预测在空间激光通信中很重要，但是现有方法精度低且计算过程复杂。提出了一种基于光轴指向轨迹的卡尔曼滤波的PAA预测新方法。所提出的方法利用精细跟踪的高精度来提高预测滤波的精度。以星地激光通信为研究背景，推导了典型的采集，指向和跟踪（APT）系统中的光束传输过程，建立了卡尔曼滤波模型，并对模型进行了仿真。结果表明，可以准确预测PAA，有效降低PAA的误差，最大预测误差仅为3.8μrad，并且该方法不需要考虑复杂的卫星扰动。所提出的方法提高了PAA预测的准确性，并有助于空间激光通信系统的设计。