The frequent disappearance of outdoor explorers has made the research on outdoor positioning search and rescue systems more and more interesting. LoRa geolocation for outdoor tracking purposes has greatly improved the LoRa spatial positioning accuracy for high-precision differential algorithms under the machine learning model. In the process of improving the 5 sets of data to 8 sets., the positioning performance is the best when there are 5 sets of data. Considering the roadmap and under the condition of visual distance, if you want to continue to improve the accuracy, it is obvious to increase the number of groups, but the computing power of the Drone base station processor is relatively high, so a moderate group is the best.