STUDY ON CYCLE-SLIP DETECTION AND REPAIR METHODS FOR A SINGLE DUAL-FREQUENCY GLOBAL POSITIONING SYSTEM (GPS) RECEIVER

Abstract

In this work, we assessed the performance of the cycle-slip detection methods:
Turbo Edit (TE), Melbourne-Wübbena wide-lane ambiguity (MWWL) and forward
and backward moving window averaging (FBMWA). The TE and MWWL methods
were combined with ionospheric total electron content rate (TECR), and the
FBMWA with second-order time-difference phase ionosphere residual (STPIR) and
TECR. Under different scenarios, 10 Global Positioning System (GPS) datasets
were used to assess the performance of the methods for cycle-slip detection. The
MWWL-TECR delivered the best performance in detecting cycle-slips for 1 s data.
The relative comparisons show that the FBMWA-TECR method performed slightly 

better than its original version, FBMWA-STPIR, detecting 100% and 73%,
respectively. For data with a sample rate of 5 s, the FBMWA-TECR performed
better than MWWL-TECR. However, the FBMWA is suitable only for postprocessing,
which refers to applications where the data are processed after the fact.