Research On UWB Positioning Accuracy Test And Optimization In Complex Environment

The arrival of the Internet of things,position service has become the standard configuration of the mobile Internet.With the vision of smart city put forward,location based information,Internet applications and services and other derivatives have been developing rapidly under the urgent demand of the market.In the case of the traditional location information service can not be easily "entered",the development of the small positioning system in the complex indoor environment is accelerating.WIFI,Bluetooth,infrared,ultrasonic,radio frequency identification and other wireless location technologies are constantly approaching the requirements of people in location,real-time and interaction.Meanwhile,the bottleneck of accuracy is still not able to break through.Laser positioning technology has shown good performance in all aspects,but its high cost makes its utilization rate low.UWB centimetre precision positioning technology as a growing wireless indoor positioning mode,the advantages and development prospects can not be underestimated.Based on years of research and development of laboratory team,this paper optimizes and upgrade the original UWB positioning system hardware platform through many aspects of learning and research.At the same time,combined with the analysis and deduction of the theory of UWB wireless communication technology and various location algorithms,in improving the hardware technology to the product testing process,we can repeatedly test and analyze various problems that affect the location accuracy in the complex environment area that may be applied in the future.Combining the theory with the actual test,this paper presents an optimized dynamic frame slot ALOHA algorithm for the signal collision problem caused by the expansion of the tag capacity that UWB encounters when expanding in a complex indoor environment,and the maximum probability of positioning the base station when the positioning area network is extended.Optimize the selection algorithm.And in a variety of actual scenes,a large number of measurement results are analyzed and evaluated for errors.The results of the self-research are verified.The accuracy of the extended multi-target positioning accuracy in the full-coverage area under a real complex office environment can be stabilized around 10 cm error range,and some empirical experiences are determined.The layout of base stations and other problems that affect the accuracy of positioning.