In the complex electromagnetic environment of the battlefield, satellite navigation receivers are susceptible to EMI (electromagnetic interference) and cannot be positioned. In response to this phenomenon, a method for evaluating the EMI situation of satellite navigation receivers based on unmanned aerial vehicle′s environmental perception was proposed. When the navigation receiver was not interfered, the characteristic parameters of the EMI and the receiving state of the navigation receiver were used as the input of the prediction. When the receiver tracking loop was lost, the effect threshold was used as the observation target value to establish the XGBoost prediction model. On this basis, the rank of the EMI situation of the navigation receiver was given, and the situation assessment method of the navigation receiver under single-source or dual-source were proposed. Compared with the prediction methods of Gaussian processes for regression and support vector regression, the results show that the XGBoost method has the better prediction accuracy. According to this prediction method, the comprehensive utilization of the technology schemes and the tactical schemes is beneficial to improving the adaptability of unmanned aerial vehicles in complex electromagnetic environments.