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Research On The Positioning Performance Of Combination Of TDOA And TSOA

Posted on:2019-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:B D XueFull Text:PDF
GTID:2392330596994468Subject:Aeronautical Engineering
Abstract/Summary:PDF Full Text Request
The research and application of Multilateration system can provide better monitoring data for air traffic service and ensure the safety of air transportation.This paper mainly studies the distribution of ambiguity and GDOP of TDOA(Time Difference of Arrival)and TSOA(Time Sum of Arrival)models,finds out the best way of layout,applies it to TDOA/TSOA combined model,and uses PSO(Particle Swarm Optimization)algorithm to solve the combined model.The paper introduces the positioning principle of TDOA,TSOA and their combined positioning model.The distribution of the ambiguity of TDOA model for planar positioning is analyzed and summarized,and it is extended to three-dimensional positioning.The distribution of the ambiguity of TSOA model and combined model are also analyzed.The paper introduces the GDOP(Geometric dilution of precision)and the GDOP distribution of TDOA,TSOA and combined model under the classical layout of four stations(rectangular,diamond,inverted triangle,star)and multiple stations.The influence of baseline length,angle,number of base stations and main station position on the distribution of GDOP is researched.The results show that,when four base stations adopt a star station,the GDOP value distribution is more uniform and the GDOP value of the same location is smaller.Increasing the number of base stations can reduce the GDOP value.The location performance is better.For TDOA/TSOA combined model,the particle swarm optimization algorithm is used to solve the problem.The simulation analysis of Innsbruck Airport proves that the performance of the combined model is better than the TDOA positioning model.
Keywords/Search Tags:Time Difference of Arrival, Time Sum of Arrival, combined model, ambiguity, Geometric dilution of precision, Particle Swarm Optimization algorithm
PDF Full Text Request
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