Research On Key Technologies Of Exhibition Hall Personnel Location Based On Ultra-wideband

With the quick expansion of wireless communications technology,a variety of signals are used in the intelligent Internet to meet a variety of market requirement.Among them,services based on location information are also increasing,such as the positioning and management of parts in the logistics warehousing system,and the disaster scene to rescue of personnel,the positioning of indoor robots in the indoor service field,etc.Due to different environmental characteristics,the complexity of the environment and the positioning accuracy requirements are also different.This subject is oriented to the research of indoor high-precision positioning technology in the public exhibition hall environment,and high-precision positioning of personnel in the case of high environmental complexity,to improve the anti-interference ability of the positioning system while maintaining low cost and low power consumption.First,the hardware and software are designed for the positioning system.In the hardware circuit,the STM32 chips are used as the MCU of the tags and anchors,and the UWB communication module is designed with DW1000,and the corresponding peripherals are designed and implemented according to the chip interface characteristics;Considering the communication characteristics of the UWB module in software,the label and the base station are divided and implemented as functional modules.Secondly,in terms of positioning algorithm,analyze and solve many factors that affect positioning accuracy.The improved TDOA-TWR algorithm is used to calculate the signal transmission time of the tag and the base station for UWB communication into the three-dimensional coordinate data of the tag in the base station coordinate system.;Adopt the time slot ALOHA algorithm to reduce the collision probability of multiple access signals and ensure that multiple tags can work normally under the same base station at the same time;to solve the positioning error caused by the non-line-of-sight environment,a variety of algorithms are compared and analyzed,and finally adopted The UKF algorithm corrects the positioning coordinates to obtain a positioning trajectory closer to the actual motion path,which improves the positioning accuracy in a complex environment.At last,I took a whole test for every module of the indoor positioning system in the actual environment.According to the test requirements,the upper computer software monitoring platform is designed and implemented based on Python on the PC side.It can communicate with the lower computer through WIFI,and collect the data of the lower computer in real time,algorithm processing and coordinate display.The test results show that the average positioning error of the positioning tag is 13.9cm when it is stationary,and the average positioning error of the tag is 17.2cm in a non-line-of-sight environment.The movement path of the tag is relatively close to the preset actual path,which can represent the actual movement path.