Optimization of Outdoor Long-Range Localization Algorithm Based on DS-TWR

Currently, The UWB positioning system utilizing the DS-TWR algorithm has a high communication conflict rate in multi-tag environments. It can generate significant ranging errors when used at long distances. An enhanced algorithm has been proposed to tackle these issues. Regarding communication, the hash distribution of the communication content of the label and the base station is carried out, and then the base station responds uniformly to reduce the number of messages sent by the base station. In terms of range, an adaptive Kalman filter algorithm is proposed to improve range accuracy. The results show that the collision rate of communication is reduced by about 51 %, and the accuracy of ranging is reduced by about 76 % compared with that without filtering.