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Improvement Of Network Location Algorithm For Seismic Data Acquisition Station Based On Time Difference Of Arrival

Posted on:2019-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:J T LiFull Text:PDF
GTID:2370330596466505Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
In order to improve the positioning accuracy of seismic data acquisition station,the time difference of arrival(TDOA)network positioning algorithm in non-line-of-sight(NLOS)environment is improved.Based on analysis of TDOA positioning method,design TDOA positioning performance optimization simulation experiment and NLOS error discrimination suppression simulation experiment,and a seismic data acquisition station client is built.Aiming at the problem that the classical algorithm solves the low positioning accuracy of TDOA,the differential evolution algorithm and the particle swarm optimization algorithm are improved on the basis of the cooperative hybrid strategy,and then the improved differential particle swarm optimization(DEPSO)algorithm is applied in Gaussian environment.The simulation experiment shows that the proposed algorithm has higher positioning accuracy than the classical algorithm.To work out the problem that the NLOS error value in the environment of seismic exploration equipment is bigger,the environment is judged according to the standard deviation of the measured values,what's more,the fitness function of the DEPSO algorithm is corrected based on the exponential distribution of the additional delay in the actual channel.Simulation experiments in the environment show that the improved algorithm can effectively reduce the impact of NLOS error on the positioning results,improve the positioning performance,and meet the basic positioning requirements of seismic exploration work.Considering the problems of weak GPS signal and long positioning time in the field environment,a seismic data acquisition client integrating GPS positioning,network positioning,acquisition and transmission functions is designed and built on the Android Studio platform,and runs on the mobile phone.The results show that the client can keep connected with the host computer,transmit location information in real time,and ensure the smooth completion of seismic acquisition.
Keywords/Search Tags:seismic data acquisition, time difference of arrival(TDOA), differential particle swarm optimization(DEPSO), non-line-of-sight(NLOS)
PDF Full Text Request
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