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Research On The Algorithm Of Radio Signal Localization

Posted on:2020-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:B YangFull Text:PDF
GTID:2428330572499386Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of electromagnetic field and Electromagnetic Wave Technology,radio technology has appeared in people's life and work,application in many fields of modernization of information society.The future development trend of radio transmitting equipment is low power,broadband,miniaturization and intellectualization,In the limited spectrum range,more and more radio equipments will produce electromagnetic interference,In particular,the emergence of some illegal equipment seriously interferes with the effective use of spectrum resources.It is necessary to monitor and locate some radio transmitting equipment to find its real coordinate position.It is very important to design an effective algorithm with good positioning performance and accurate positioning.In this paper,the algorithm of radio signal location is studied.Based on the research of TOA,AOA,TDOA and other radio positioning technologies,aiming at the need of positioning in non-line-of-sight propagation under Gaussian noise environment,according to the characteristics of Chan algorithm and Taylor series positioning algorithm,the two algorithms are fused.The output localization result of Chan algorithm is taken as the initial value of Taylor series localization algorithm to form a joint localization algorithm,and error analysis and correction method are carried out.The mathematical model of genetic algorithm for TDOA calculation makes it suitable for TDOA location calculation.Then we use MATLAB to compile the simulation program and carry out the simulation.The simulation results show that the positioning accuracy and performance of Chan-Taylor joint positioning algorithm are much better than Chan algorithm and Taylor series positioning algorithm.The positioning accuracy of TDOA based on genetic algorithm is higher than that of Chan-Taylor joint positioning algorithm,and the positioning performance is the best and the stability is the best,But genetic algorithms take longer.
Keywords/Search Tags:Location, TDOA, Chan-Taylor Joint Location Algorithms, Genetic Algorithms
PDF Full Text Request
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