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Research Of Underground Seismic Source Localization Algorithm Based On Beam Cross

Posted on:2016-10-27Degree:MasterType:Thesis
Country:ChinaCandidate:T LiFull Text:PDF
GTID:2180330467491563Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
A series of geophone array are used to obtain the vibration signal of the underground in order to realize the position in traditional shallow underground explosion, through the method of the signal feature extraction, the first arrival time of vibration signal are obtained, then use TDOA location algorithm completing the source’s measurement and location. Due to the geological structure is more complex,transverse wave and longitudinal wave are overlapped and the unstability of the envelope velocity, the frequency dispersion phenomenon is obvious at the near field of epicenter, resulting the low accuracy of TDOA location. Aiming at these problems, this paper proposes a distributed and crossing localization algorithm based on the angle of arrival, that is obtaining the longitudinal wave’s angle information by each sensor node, then establishing the beam model of the longitudinal wave and doing the location of beam’s crossing, finally getting the precise position of the underground source.According to a small area of shallow underground source location needs, the paper design shallow underground cross-positioning system, based on simulations get through the outfield between the source and the sensor pitch angle, azimuth information and coordinate conversion using least square localization algorithm, the weighted fusion location algorithm, least squares-Taylor series method, three-dimensional localization algorithm to optimize the cross were calculated on access to information, to predict the source location information, the use of BP neural network training method for screening effective experimental data using least squares, weighted data fusion algorithm were fitted hypocenter location information, analysis and positioning accuracy positioning results obtained by different positioning algorithms and software platform designed to visually display the results predicted hypocenter location and orientation.The results show that:in the20m*20m underground vibrations within the scope of monitoring, underground root mean square error of cross positioned0.40m, basically meet the distributed shallow underground shock positioning needs.
Keywords/Search Tags:Shallow underground vibrations, beam cross, Data fusion, hypocentral
PDF Full Text Request
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