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Stations Distribution Study Of Passive Time Difference Localization System Using Multiple Sensors

Posted on:2020-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:W XiaFull Text:PDF
GTID:2428330602950265Subject:Engineering
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In the modern electronic information warfare environment,target reconnaissance and location is an important research content in the field of electronic warfare.With the continuous development of electronic countermeasures and defense technology,TDOA passive location technology has been widely studied and applied due to its advantages of strong survivability,long detection distance and high positioning accuracy.The location of the TDOA passive location system base station is one of the important factors affecting its positioning performance.Therefore,this paper takes the TDOA passive location system as the research object and makes an in-depth study of the station placement method of the multi-station TDOA passive location system.This paper studies the following aspects:Firstly,the basic principle of TDOA passive positioning technology is introduced,and the basic model of TDOA passive location system is established.Aiming at the problem of fuzzy and unsolved positioning in the positioning process,the influence of base station layout and TDOA measurement error on fuzzy and unsolved positioning is studied,and the method to improve fuzzy and unsolved positioning is given.Secondly,the method of regular station distribution for TDOA passive location system is studied.By deducing the dilution of geometric accuracy(GDOP)of regular station,the factors affecting the positioning accuracy of regular station are obtained.The GDOP distribution of regular station is studied and simulated under the influence of different factors,and the distribution strategy of regular station is obtained.Finally,through simulation analysis of the location accuracy of TDOA location system for targets under different positioning formations when the target is attacking from different directions,the regular location method for fixed targets and moving targets is studied and proposed.Then,the station layout method based on the optimal station layout model is studied.In view of the problem that the position of optional positioning station cannot meet the requirement of regular positioning station,or the positioning accuracy of target area cannot meet the specified requirement under the condition of regular positioning station,the positioning problem of TDOA passive location system is transformed into an optimization problem for solving.The optimal station layout model of multi-station TDOA passive location system is established by determining independent variables,constraint conditions and objective functions.The process and method of solving the optimal station layout with genetic algorithm(GA)and particle swarm optimization(PSO)are studied,and the performance of the two optimization algorithms for solving the optimal station location is compared.Finally,the optimal station distribution method considering the difference of base station time difference is studied.Due to environment,the actual reconnaissance location TDOA measurement error is influenced by many factors,so the TDOA is proposed to the standard deviation of measurement errors as the target signal parameters,signal-to-noise ratio and propagation distance to a function,such as in the TDOA measurement error was deduced under the influence of the positioning accuracy of CRLB,will average CRLB mark the area as the objective function of optimal embattling model to solve the optimal embattling position.At the same time,the modified grey wolf optimizer algorithm(GWO)is studied,and the modified mixed grey wolf optimizer algorithm(M-GWO)is proposed.After that,the solution of GA,PSO,GWO and M-GWO algorithms for the optimal station location under different time difference measurement methods is studied,and the results and performance of the four algorithms are compared,and the optimal station location method considering the difference of base station time difference measurement performance is summarized.
Keywords/Search Tags:TDOA Passive Location, Positioning Accuracy, Regular Station Distribution, Optimum Station Distribution, Mixed Grey Wolf Optimizer
PDF Full Text Request
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