WCSE 2024 ISBN: 978-981-94-1156-6
DOI: 10.18178/wcse.2024.06.026

An Aircraft Trajectory Updating Algorithm Based on Improved Multilateration Method

Zihan Yu, Yang Zhang, Qihang Liu, Yulu Wei, Jianyu Su, Yifan Xu, Zhiyuan Shen

Abstract— Appropriate aircraft track data is pre-requirement for all aircraft trajectory research. However, in real life, aircraft may have no position reporting capabilities or report wrong locations and low-cost ADS-B station may offer datasets without calibration. These problems pose a challenge to air trajectory prediction and traditional localization methods like multilateration. Based on this background, we introduced an aircraft trajectory updating algorithm based on improved multilateration method. This method used datasets from randomly located and low-quality stations. It first identified stations calibrated and used them to synchronize other stations step by step. After getting calibrated location data, the author considered the aircraft trajectory as a directed graph and compute the maximum spanning tree of the graph to filter the predicted locations. They predicted nearly 70% and received 81.88954m TRMSE on the full LocaRDS datasets, and we got similar results in our research.

Index Terms— Multilateration, clock drift, aircraft localization, aircraft trajectory

Zihan Yu
Nanjing University of Aeronautics and Astronautics, CHINA
Yang Zhang
Nanjing University of Aeronautics and Astronautics, CHINA
Qihang Liu
Nanjing University of Aeronautics and Astronautics, CHINA
Yulu Wei
Nanjing University of Aeronautics and Astronautics, CHINA
Jianyu Su
Nanjing University of Aeronautics and Astronautics, CHINA
Yifan Xu
Nanjing University of Aeronautics and Astronautics, CHINA
Zhiyuan Shen
Nanjing University of Aeronautics and Astronautics, CHINA

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Cite: Zihan Yu, Yang Zhang, Qihang Liu, Yulu Wei, Jianyu Su, Yifan Xu, Zhiyuan Shen, "An Aircraft Trajectory Updating Algorithm Based on Improved Multilateration Method," 2024 The 14th International Workshop on Computer Science and Engineering (WCSE 2024), pp. 168-174, Phuket Island, Thailand, June 19-21, 2024.