Research On Indoor Location Technology Based On RFID

In modern wireless communication technology,the positioning technology have a wide range of applications in the militarized management,car navigation,material management,logistics tracking and other fields.As we all know,GPS Global Positioning System is the most widely used and most mature outdoor positioning technology,but the indoor positioning system has yet to be studied.At present,the most popular indoor positioning technology is based on infrared,Bluetooth,ultrasound,UWB,WiFi,radio frequency identification(RFID).Due to the complexity of the indoor environment,the analysis found that the first few methods of positioning accuracy is not good.Finally,the RFID technology with obvious advantages is selected for the key research.The main contents include:This paper introduces the research background and significance of RFID technology,Summarizes the existing methods of RFID indoor location,and studies the indoor location algorithm of RFID based on RSSI according to the research status at home and abroad.The paper focuses on two classic RFID indoor location algorithms based on RSSI(received signal strength value),LANDMARC algorithm and VIRE algorithm.Simulates and analyzes the two algorithms by Matlab.The advantages and disadvantages of each algorithm are summarized,which lays the foundation for the improvement of localization algorithm.The VIRE algorithm is studied in detail.Against the disadvantage of poor positioning accuracy at the boundary.The NBVIRE algorithm is obtained.The algorithm firstly through the establishment of a two element regression equation,Get the RSSI value of the boundary virtual label and reduce the complexity of the algorithm.Secondly,the method of threshold selection is improved to reduce the influence of big data on the positioning accuracy,Finally,it puts forward fuzzy map designed to find the possible location area.At the same time,the influence of different parameters on NBVIRE algorithm is analyzed by simulation experiment.The NBVIRE algorithm with the above improved points is simulated.The simulation results show:the boundary position error decreased by 48.7%-57.6%,the average positioning accuracy improved nearly doubled.