  The widely used global navigation satellite systems (GNSSs) are vulnerable to
radio frequency interference (RFI). Long-range navigation (Loran), a
terrestrial navigation system, can compensate for this weakness; however, it
suffers from low positioning accuracy, and studies are under way to improve its
positioning performance. One such study has proposed the multichain Loran
positioning method that uses the signals of transmitting stations belonging to
different chains. Although the multichain Loran positioning performance is
superior to the performance of conventional methods, the additional secondary
factor (ASF) can still degrade its positioning accuracy. To mitigate the
effects of temporal ASF, which is one of the ASF components, it is necessary to
obtain temporal correction data from a nearby reference station at a known
location. In this study, an experiment is performed to verify the effect of
removing the outliers in the temporal correction data on the multichain Loran
positioning accuracy.

Signal Processing