Research On Civil Aviation Multi-point Positioning Algorithm Based On TDOA

The civil aviation transportation industry has been growing rapidly along with the growing national strength of China,and its development momentum has become very rapid.Therefore,how to better manage air traffic becomes more and more important.At the same time,the air safety pressure has also increased dramatically.In order to effectively improve the level of aviation safety,ensure the absolute safety of air transportation,and accurately and timely monitor the position of the target aircraft,multi-point positioning technology needs to continuously increase its R&D investment.Because of its high positioning accuracy,fast update,and high cost performance,it is widely used in the world.This article first focuses on the analysis of the role of multi-point positioning system in the field of civil aviation surveillance,and particularly explains the importance of studying multi-point positioning technology in the field of rapid development of China's civil aviation.Subsequently,the classification,composition,and the principles of two-dimensional and three-dimensional spatial positioning of multi-point positioning systems are separately described.At the same time,the application advantages of the system are also explained.Then the localization algorithms of multi-point positioning systems at home and abroad,and the characteristics of different kinds of multi-point positioning algorithms such as SI algorithm,SX algorithm,and Friedlander algorithm were studied.Among which the two traditional algorithms are mainly developed for Chan and Taylor series.A theoretical analysis was performed,and then the simulation was compared from the two aspects of positioning accuracy and algorithm operation efficiency.By exploring the advantages and disadvantages of these two traditional algorithms,Taylor's series expansion multi-location algorithm based on improved genetic ant colony algorithm and Chan multi-point positioning algorithm based on improved genetic ant colony algorithm are proposed.They effectively overcome the limitations of the two traditional classical algorithms,at the same time,the genetic algorithm and ant colony algorithm are introduced accordingly.Under the same simulation conditions,the two improved algorithms were simulated and the advantages and disadvantages of both the positioning accuracy and the operating efficiency of the algorithm were compared.The effectiveness and reliability of the improved algorithm were verified,and the improved algorithm was proved in theory.It can indeed improve the positioning accuracy.Under the same simulation conditions,the two improved algorithms were simulated.And the advantages and disadvantages of both the positioning accuracy and the operating efficiency of the algorithm were compared.The effectiveness and reliability of the improved algorithm were verified.It can indeed improve the positioning accuracy.Finally,the problems such as positioning error affecting the multi-position positioning system are analyzed,including the subject error analysis,system measurement error analysis and so on.At the same time,the future research direction of the multi-point positioning algorithm is discussed and envisaged.