Aiming at the demand of UAV for high-altitude weather detection, in this paper, an armoured platinum resistance temperature sensor with radiation shield is designed. Firstly, a computational fluid dynamics (CFD) approach was employed to work out the solar radiation error of armoured platinum resistance temperature sensors with or without radiation shield under multi-physical fields, and the comparative analysis was carried out. Then, Support Vector Machine (SVM) and Particle Swarm Optimization Support Vector Machine (PSO-SVM) algorithms were used for training data to compare the the forecast models. Finally, a low-pressure wind tunnel experimental setup was constructed for simulating the upper atmosphere environment, and the experimental data and the algorithm prediction results were compared. The experimental findings indicate that the mean measurement discrepancy of the proposed platinum resistance temperature sensor with radiation shield is 0.014 1 K, and the root mean square error is 0.015 0 K.