A Research On Underground Shallow Localization Algorithm Based On The Distributed Sensor Network

Vibration wave positioning technology which is a measurement technology gatheringdata acquisition, data transmission, position of signal processing in all, is widely used in coalmine exploration, indoor and outdoor location tracking engineering field. In the use ofvibration wave for underground shallow hypocenter location, for the complexity of theunderground environment, the source location accuracy is not high. Based on the analysis ofthe research on the basis of traditional positioning methods, we focuse on the design ofnetwork sensor vibration signal precise positioning method.In the underground shallow positioning method of vibration, we build a distributed lag(TDOA) positioning model under the condition of no prediction speed. On the basis of theanalysis of the research method of least squares, Chan’s algorithm, Taylor, Newton, quasiNewton and other traditional target localization algorithm and genetic algorithm, particleswarm optimization (PSO) algorithm and other modern localization optimization algorithm,we come up with an method based on a group of wave velocity of the particle swarm hybridlocalization algorithm. Through improving particle swarm population screening strategy,strengthen the relevance of the search space, all the members of the opposite sex, it realizethe high precision positioning of ground vibration points; According to ground vibrationwave propagation characteristics and the group of the polarization characteristics of wavevelocity, this paper proposes an adaptive weighted fusion algorithm, by eliminating singularinvalid location data of sensor nodes, implements in the ground shakes the optimal locationin the solution space of location. Test results show that in the shallow areas of20m*20m*3m, the vibration within thescope of underground the source of the three-dimensional position of the positioningprecision can reach0.2m, and can calculate the propagation velocity of underground media.