Stochastic modeling of pseudolite clock errors using enhanced AR methods

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Alawieh M, Patino-Studencki L, Dahlhaus D
Jahr der Veröffentlichung: 2010
Tagungsband: 2010 7th International Symposium on Communication Systems, Networks Digital Signal Processing (CSNDSP 2010)
Seitenbereich: 178-183
Sprache: Englisch


Abstract


In 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.



FAU-Autoren / FAU-Herausgeber

Patino-Studencki, Lucila
Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)


Autor(en) der externen Einrichtung(en)
Universität Kassel


Zitierweisen

APA:
Alawieh, M., Patino-Studencki, L., & Dahlhaus, D. (2010). Stochastic modeling of pseudolite clock errors using enhanced AR methods. In 2010 7th International Symposium on Communication Systems, Networks Digital Signal Processing (CSNDSP 2010) (pp. 178-183). Newcastle, GB.

MLA:
Alawieh, Mohammad, Lucila Patino-Studencki, and Dirk Dahlhaus. "Stochastic modeling of pseudolite clock errors using enhanced AR methods." Proceedings of the Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on, Newcastle 2010. 178-183.

BibTeX: 

Zuletzt aktualisiert 2018-06-08 um 19:39