MPA-based pointing calibration for Q/V band LEO canted antennas

China’s satellite Internet infrastructure is undergoing rapid large scale deployment, in which high frequency three axis canted antennas serve as critical gateway stations for low Earth orbit (LEO) satellite networks. This application scenario imposes stringent requirements on antenna pointing calibration, including rapid implementation to support large scale deployment, high precision to accommodate narrow beam high frequency antennas, and strong robustness to ensure stable tracking during high elevation zenith pass satellite passes. To meet these demands, this paper proposes a pointing calibration correction framework based on the Marine Predators Algorithm (MPA). Specifically, the pointing model is established by integrating the traditional eight-parameter correction model of radio telescopes with the operation mechanism of a three-axis canted antenna, and the MPA is subsequently leveraged to globally optimize the model parameters. Experimental results show that the proposed method achieves reliable pointing calibration using only 1–2 orbital tracks and significantly improves pointing accuracy, while maintaining stable performance under high-elevation tracking conditions. Furthermore, comparative analysis demonstrates that the proposed MPA outperforms traditional algorithms, such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), in terms of optimization efficiency and accuracy. These results demonstrate that the proposed algorithm effectively satisfies the requirements of rapid, high precision, and robust pointing calibration for large scale deployment of high frequency LEO gateway stations.