Design and Research of Personnel Positioning System in Tunnel Based on UWB
In order to better adapt to the tunnel environment and improve the positioning accuracy,a particle swarm optimiza-tion based TDOA+TOF fusion algorithm is proposed.The algorithm can obtain the required information time difference through the TDOA algorithm,and can calculate the distance from the tag to the base station within the positioning range.The TOF algorithm is used to solve the label coordinates according to the least square method,and particle swarm optimization al-gorithm is used to optimize the solved coordinates and obtain the most global optimal solution.The TDOA+TOF fusion loca-tion algorithm only needs three communications to measure the TDOA time difference and TOF distance.In the system test,the time performance and positioning accuracy of various algorithms are compared.The research results show that the positio-ning accuracy of TDOA+TOF fusion location algorithm based on particle swarm optimization can reach within 20 cm,and the positioning time is only 51％of TOF algorithm.The research result provides a positioning method that takes into account both positioning accuracy and time performance for the field of personnel positioning in complex environment.
万方数据
维普
