Research Of Indoor Location Technology Based On Bluetooth Low Energy4.0

In recent years, with the near field communication technology gradually mature, especially Apple Corp proposed a new near field communication of iBeacon technology. Indoor localization based on iBeacon technology has begun to gradually enter into the normal life of the people. As high precision indoor positioning based on the BLE (Bluetooth Low Energy)4.0technology has gradually become a new hotspot in the area of Indoor localization.In this paper, we research the high accuracy indoor position based on frontier iBeacon theory. This paper presents a computational technique using dynamic iBeacon diagonal based on existing position researching. Then this paper has improved algorithm on real-time signal filtering processing. At the position state, this paper improved the algorithem using the rule of Taylor series. This paper implement a set of solution of indoor positioning system using iBeacon.In this paper, we use Bluetooth low energy on iOS device to solve the problem of high accuracy indoor position. After establishing our indoor positioning model, different methods have applied in different steps of HAIP In the data-preprocessing step, we use Kalman filter to process the RSSI. In the transition step of RSSI to Distance, we propose a novelty method to adjust the parameters of Log-Distance model dynamically and adaptively according to diagonal beacons’measurement. In the last step, we use Triangular Interpolation and eXtrapolation (TIX) to present empirical performance evaluation.In this paper, we implemented the offline location algorithm, and we have developed the program in iOS platform, and lightweight indoor location map analysis tools; server for propagation model parameters based on the training phase, and lightweight cloud LBS retrieval platform.The main task of this work is the design of improved algorithm of iBeacon technology based on indoor positioning. And we have realized a set of solution of indoor localization using iBeacon. For example:providing indoor positioning SDK-GFIndoorLocation, Indoor localization APP for iOS platform, online training room location model, online iBeacon cloud retrieval, online laboratory LBS cloud services. In this paper, we are the first time to introduce the indoor positioning of path planning and lightweight indoor map dedicated analytical framework in the indoor positioning APP.This paper is to put forward a RSSI algorithm with ranging model parameters of dynamic calculation algorithm based on the contribution of the thesis lies in the implementation, put forward a set of solving the lightweight iBeacon based solution, and provide third party developers with a set of iBeacon technology of high precision, low power consumption, configurable, high performance iOS client positioning based on SDK-GFIndoorLocation. In addition, this research developed a lightweight indoor indoors positioning map analysis tool based on special needs, and for the first time the innovative use of A*algorithm to solve the special needs of indoor positioning and navigation.