Alawieh, M.M.AlawiehPatino-Studencka, L.L.Patino-StudenckaDahlhaus, D.D.Dahlhaus2022-03-112022-03-112010https://publica.fraunhofer.de/handle/publica/370178In a pseudolites based real-time locating system, autoregressive (AR) techniques are applied to model the stochastic behavior of the pseudolite clocks errors. A stable model to predict the clock deviations is obtained from the AR parameters of a process smoothed by a Kalman filter. A performance comparison of the proposed scheme with an approach based on a Markov model is performed using measurements from a real-world experiment. It is shown that the proposed scheme can predict the clock deviations with an accuracy of picoseconds leading to location errors of few centimeters.en621conference paper