Research On The Indoor Mobile Vehicle Positioning System Based On The UWB

In order to enable trucks to operate efficiently and smoothly in large warehouses,The information of each truck is needed to know,the most important of which is position information.There are many indoor positioning technologies at present,but the Ultra Wideband(UWB)is the most promising technology for indoor positioning due to various reasons.As a new radio technology,UWB has a strong ability to cross obstacles because it uses very narrow short-wave pulses to transmit information,besides,UWB has a high time resolution and can achieve accurate distance measurement,which is used to achieve accurate positioning results by using position algorithm.This thesis studies and designs the indoor positioning system from two aspects of theory and practice:In this thesis,a co-position algorithm is proposed,which is based on UWB signals.The algorithm be improved according to the Taylor series algorithm.The algorithm can improve the positioning accuracy by correcting the return value with the correction factor,which is derived from experimental results.In this thesis,a series of experiments carried out to determine the correction factor.In order to improve the efficiency and positioning accuracy,this thesis use the positioning results of the Fang algorithm and the Chan algorithm as the initial value of the Taylor series algorithm because the Taylor series algorithm is very sensitive to the initial value.An indoor mobile vehicle positioning system designed in this thesis,which is based on UWB.The positioning system includes hardware and software part,which are analyzed and designed in detail.The validation of the positioning system be performed in the empty and obstructive buildings,which are considered as LOS and NLOS environment.The experimental results show that the system's positioning error is about 15 cm in the LOS environment and the system's positioning error is about 25 cm in the NLOS environment.