Workshop measuring and positioning system (wMPS) is a new kind of distributed coordinate measuring system based on photoelectric scanning. In order to further improve the dynamic coordinate measuring precision of wMPS, a brief introduction of wMPS dynamic coordinate measurement principle is presented. Based on the algorithm of extended Kalman filter (EKF), the model of uniform linear motion is established. Afterwards model and algorithm are simulated with computer. Based on the simulation results, the proposed method is verified experimentally, using ABB IRB 2400 industrial robot as the experiment platform. Experimental results indicate that the EKF algorithm can not only substitute the traditional least squares algorithm and estimate the trajectory, but also reduce the dynamic random errors in the measurement process and improve the system positioning accuracy. The proposed algorithm basically meets the requirements of industrial field measurement for dynamic object positioning.