Preliminary Study of Multichain-based Loran Positioning Accuracy for a Dynamic User in South Korea

Abstract

we developed a multichain-based Loran positioning method to improve the current Loran positioning performance, which does not require hardware upgrades of existing Loran transmitters to eLoran capability. We have previously demonstrated an approximately 15-m (95%) accuracy for a static user by applying our multichain-based Loran positioning algorithm and the time-difference-of-arrival (TDOA)-based temporal additional secondary factor (ASF) correction method when a user was approximately 12 km from a differential correction station. In this study, we examine the improved Loran positioning performance for a dynamic user based on the multichain algorithm and the existing Loran infrastructure in Northeast Asia. TDOA-based ASF maps, which are different from conventional time-of-arrival (TOA)-based ASF maps for eLoran, are generated to compensate for spatial ASF errors for the dynamic user.