Design And Realization Of Indoor Positioning System Based On Low Power Bluetooh Technology

With the improvement of living standards,people on the large shopping demand is characterized by large area,variety of goods,to slow life of consumers with a better shopping experience and more shopping options for the fast pace of consumers,difficult to quickly find the purchase of goods,wasted valuable time.Reduce the shopping experience.The indoor positioning system has low precision,high cost,high power consumption and unstable problem.To solve the above problems,this paper presents the application of low power system based on Bluetooth indoor positioning algorithm,to help customers quickly find the goods position save shopping time increase shopping Efficiency.The project is divided into indoor positioning algorithm module and Application module.Indoor positioning algorithm module to optimize the existing centroid localization algorithm,proposed domain decomposition two average centroid localization algorithm,experiments show that the improved positioning accuracy;Application module design with Android development platform and implementation guide system domain decomposition two the average indoor positioning algorithm based on.The main contents of this paper are as follows:1?Analysis of the research status at home and abroad in the field of indoor positioning,the study found that the indoor positioning system at home and abroad widely exists in the positioning accuracy is not high,high cost,high system complexity,environmental adaptability,problems of large power consumption;propagation characteristics of different indoor location algorithm and the principle of RSSI in different indoor scene the experiment in the actual environment to obtain the relevant data,the propagation model fitting ranging experiments and positioning experiment,the parameters of the RSSI propagation model;then the positioning of different literature algorithms found low positioning precision and positioning results are not stable,strong random error Deficiency;2.Due to the shortage of the traditional weighted localization algorithm is introduced in this paper,the selected reference node and the distance error value of the two aspects to the improvement of the existing localization algorithms,proposed domain decomposition two average centroid localization algorithm,simulation experiment and the algorithm on Matlab,the experimental results show that the proposed positioning the algorithm in positioning accuracy,positioning error stability is better than the traditional two aspects;3.Two times the average decomposition of indoor positioning algorithm is proposed in this paper based on the area,the shopping mall scene designed a shopping guide system,combined with the Android platform for the development of the mobile terminal user interface,through the simulator test experiments show that the system can effectively improve the indoor positioning accuracy and can quickly find the correct guidance of consumers want to buy commodity.