Research On Indoor Positioning Technology Of Moving Objects Based On UWB

The development and wide application of intelligent devices make the research of indoor positioning technology become a hot spot for researchers.Compared with the outdoor positioning system,the characteristics of large interference,complicated scenes and high precision make the indoor positioning technology face challenges.Ultra-wideband(UWB)positioning is widely studied and applied as a positioning scheme with high precision,strong anti-interference and low cost.However,most of the current research is only for static targets,and for the positioning of moving objects and trajectory tracking,UWB positioning technology is still rare.This paper proposes a UWB positioning scheme based on Received Signal Strength Indication(RSSI)anchor screening.This positioning scheme combines the inertia of moving objects to study the Kalman filter-based localization algorithm for dynamic continuous tracking and localization of moving objects.The simulation results show that compared with the common UWB positioning scheme,the positioning scheme based on RSSI anchor screening UWB uses multi-dimensional data to eliminate bad nodes that are vulnerable to environmental interference,which improves the reliability and accuracy of positioning.The program performs better in complex environments.At the same time,due to the fusion of the dynamic characteristics of the object to be tested,the Kalman filter-based dynamic fusion localization algorithm can effectively improve the positioning accuracy and has good robustness in dynamic simulation experiments.In order to further verify the effectiveness of the algorithm,the author built a UWB positioning system based on TOA\TDOA algorithm with mobile smart car,built a dynamic positioning test platform,and based on the hardware platform,carried out the positioning experiment under the indoor real scene.The experimental results show that in the single-point static positioning,the UWB positioning scheme based on RSSI anchor screening can obtain more stable positioning accuracy than the common UWB positioning.In the dynamic positioning scenario,the Kalman filter-based dynamic fusion localization algorithm can effectively combine the advantages of UWB positioning and inertial navigation positioning.In the environment with large interference,this positioning algorithm can still obtain a highly accurate positioning effect.