The Indoor Positioning Fusion Algorithm of Multi-source and Heterogeneous

In order to meet the needs of complex indoor environment, it is important to develop more efficient solution to solve the problem of indoor positioning accuracy. In this paper, an indoor fusion positioning scheme is proposed, which uses Bluetooth, WIFI and ultra-wideband positioning for fusion and collaboration strategy, and uses the strategy of Heterogeneous network data fusion and the algorithm of similarity match to provide multi-source fusion indoor positioning. To evaluate our method, the experiments base of the Guilin Smart Industrial Park Incubation Center are achieved. The experiment results show that the indoor fusion positioning effect is greatly improved compared with the single positioning method, and the positioning error is significantly reduced.