A New GNSS Relative Positioning Algorithm Based on Alternative Use of the Positions of Reference Receivers

Abstract

In this paper, we present a new relative positioning algorithm based on GNSS Regression measurement models (GR models) by using multiple antennas based on alternative use of the positions of reference receivers. We show the algorithms of estimating all unknown antenna positions by applying the double difference (DD). Then we derive updating algorithms by using true positions of the reference receivers. Finally, we carried out the experiments using real GNSS data and show the positioning results for the the proposed method as well as the conventional method.