Cycle Slip Detection in Carrier Phase Differential GPS Positioning

Abstract

In this paper, we resolve a problem to detect cycle slips in the carrier phase differential GPS positioning via a likelihood ratio test. Detection of cycle slips is one of the important problems for precise positioning. Cycle Slips are caused due to temporary loss of signal track on GPS receivers. It is known that under normal conditions, the innovation process from Kalman Filter is a zero mean Gaussian white noise process. We observe whether its mean has been changed from zero or not by applying the likelihood ratio test to detect cycle slips. Finally, the experimental results by using real receiver data are shown.