Eliminating UWB Self Positioning Error Based on Kalman Filter Algorithm

Abstract

With the deep integration of the medical industry [1] and big data, Ultra-Wideband(UWB) technology has also developed rapidly in the medical industry, and a variety of medical robots have been born. The auxiliary positioning in the medical robot is the top priority. The robot auxiliary positioning system always has the problem that its own error is large, resulting in inaccurate positioning. Therefore, this paper improves the Ultra-Wideband positioning system of the medical robot based on two-dimensional trilateral positioning, and uses the Kalman filter algorithm to solve the error and positioning point drift caused by the robot itself, It can better assist positioning.