Research On Indoor Wireless Location Technology Based On WSID

WSID(Wireless Sensor Network Syncretized Radio Frequency Identification)is a Wireless Sensor Identification technology that combines Radio Frequency Identification(RFID)based on Wireless Sensor Network(WSN)technology.Inheriting the advantages of WSN and RFID in positioning technology,WSID network can enable them to give full play to the characteristics of self-organizing network and long-distance wireless communication when used for indoor positioning,so as to achieve accurate positioning with low cost and low power consumption.Therefore,WSID has great potential and research value in positioning technology.Based on the existing WSID network localization theory,this paper analyzes and compares the advantages and disadvantages of several typical localization algorithms in wireless sensor network localization technology.Design based on WSID indoor positioning system,analyzes the system functions and requirements,set up the system’s overall framework,the node hardware and software design scheme was proposed,in the further study of CC2530 chips and SimpliciTI protocol stack,on the basis of the detailed design of the node hardware module circuit and the software realization of the main program flow,the simulation experiments,using a specially designed for WSN embedded Tiny OS operating system.Then,based on the positioning requirements of WSID network in complex indoor environment,the key technology of WSID network positioning can not be precisely located in the sparse distribution network environment to study the problem.A Gaussian mixture model is established to train,optimize and predict the trajectory of moving target nodes.Rsi-based Collaborative and Predictive Localization Algorithm(RCPLA)based on Radio Signal Strength Indicator(RSSI)was proposed.In RCPLA,in order to solve the problem that the monitoring target cannot be located in the sparse environment,point-free positioning,one-point positioning,two-point positioning and three-point or above positioning methods are adopted.In order to Improve the Localization accuracy of RCPLA,the RSSI-based improved Collaborative and Predictive Localization Algorithm(IRCPLA)was proposed to optimize the Localization by reducing the target region by RSSI.Simulation experiments and experiments in real environment show that IRCPLA proposed in this paper has achieved the optimization of RCPLA in target positioning.Compared with other indoor positioning algorithms,IRCPLA has the highest positioning accuracy in sparse distribution network,achieving the research purpose of this paper.Figure [57] table [8] reference [72]...