Kalman Filter Procedures for GPS/GLONASS Signals

Norbert Niklasch, Walter Richert, Martin Maurer and Martin Haunschild

Abstract:	Satellite navigation signals underlie several per- turbations. These include effects such as atmo- spheric perturbations, noise, measurement and clock errors as well as multipath in the surroun- dings of a receiver. In addition artificial errors like jamming or selective availability (SA) can make worse the availability of the signal or the accuracy of position determination. At present only GPS is affected with SA which is the domi- nant error for stand alone users. Since GLONASS is available now this system can be used in com- bination with GPS. The model presented here uses these systems applying a filter algorithm derived from Kalman filter techniques for filtering SA contributions to enhance the accuracy and the predictability of the position even if GLONASS is unavailable for certain times. After SA-filtering, the signal containing noise contributions is then treated by Kalman filter techniques.
Published in:	Proceedings of the 8th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1995) September 12 - 15, 1995 Palm Springs, CA
Pages:	1061 - 1068
Cite this article:	Niklasch, Norbert, Richert, Walter, Maurer, Martin, Haunschild, Martin, "Kalman Filter Procedures for GPS/GLONASS Signals," Proceedings of the 8th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1995), Palm Springs, CA, September 1995, pp. 1061-1068.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In