Effects of motion models and sensor data on the accuracy of the LPM positioning system

The local position measurement system LPM is a novel system for fast and accurate measurements of object positions with active transponders. With an accuracy of few centimeters and measurement rates of 1000 measurements per second LPM is by now one of the most advanced systems in this field. For sensor fusion purposes each transponder is equipped with a telemetry channel. In this contribution we discuss the sensor fusion of the position measurements of the LPM system with accelerometers and gyroscopes. The focus of this work is to investigate the impact of additional sensor information on the accuracy of the estimated states based on different state transition matrices of a Kalman filter. The results based on synthetic data are verified by measurements of a test car on a race track