A multi-target track generation method based on ADS-B data

A multi-target track generation method based on the statistical analysis of large amounts ADS-B data is proposed in this paper, a lot of valuable charts and statistical results are obtained, and compared with conventional track generation algorithms this research can improve greatly the authenticity of the virtual tracks. The complete data processing procedure is presented in this article, including data decoding and data statistics. Data decoding is to extract the effective ADS-B data to establish databases. Data statistics is to provide important reference for system initialization and continuous track generation. Finally, multi-target track data which is very close to real ADS-B data are generated, and an additional track for conflict detection is added based on conflict models.