A Multi-source Trajectory Data Preprocessing Method and Implementation for Aircraft Track Fusion

Currently, the trajectory data utilized for civilian flight operation surveillance is classified into various types, such as primary radar data, secondary radar data, ADS-B data, Beidou positioning data, etc. The fusion processing of trajectory data from multiple different sources and its application in flight surveillance have emerged as a trend. Nevertheless, distinct data possess diverse parsing methods, thereby demanding preprocessing of these data. Moreover, to fulfill engineering applications, the implementation of high-speed parallel processing of large volumes of data during the preprocessing stage is necessary. This paper offers a data preprocessing software design solution for multi-source trajectory fusion for the reference of relevant technicians. This approach leans towards the rapid preprocessing of data during engineering applications to better accomplish multi-source trajectory fusion.