The real-time prediction algorithm for ultrasonic P/O transducers´ VR interface

The measurement of position and orientation (P/O) is an important study area in VR technology, 3D ultrasonic P/O transducers have been widely used in this aspect for its low cost high precision and simple algorithms. But for environment influence and TOF (time of flight) of ultrasound waves, the results of measurement are discontinuous and time-delayed, so they can not be used as feedback signals for control. An improved Kalman filtering algorithm is offered for real-time prediction of the measured object in this paper. As a result, the algorithm also can be used to eliminate measurement errors influenced by the environment