Research on Bluetooth indoor positioning system incorporating LoRa

In this paper, a Bluetooth indoor positioning system based on RSSI fused with LoRa is implemented. The system consists of positioning terminal, multi-mode beacon base station, LoRa communication gateway and positioning scheduling platform for locating people or equipment. An indoor ranging model parameter optimization method is proposed. The RSSI values obtained from the multimode beacon base station are optimized using Gaussian mean filtering method to reduce the indoor ranging errors. For the problem of low accuracy of Bluetooth beacon localization at the present stage, an improved weighted center-of-mass localization algorithm is introduced on the basis of the existing weighted center-of-mass localization algorithm. The effectiveness of the improved weighted center-of-mass localization algorithm is verified using LoRa and Bluetooth localization platforms by narrowing the effective weighting area and selecting better weighted objects to improve the accuracy of the localization algorithm.