An Extend Kalman Filter (EKF) based on tracking data process was introduced for a multi-sensor laboratory Helmet-mounted Display (HMD) system. Moreover, a set of image preprocessing program was designed to represent head position based on vision. Fast angle compensation procedure (based on translation to rotate pre-rendering) was used to compensate rendering delay dynamically. EKF combined with prediction technique reduces prediction error of measurement and process. Fast angle compensation allows extending the rendering lacking time tolerance of display processing unit. 3-DOF rotating platform verification results show that compared with the original equipment, the filter reduces the noise and delay greatly and thus guarantees the quality of helmet usages.