Unified Positioning Algorithms Based on GNSS Regression Equations -Further Results of Point and Relative Positioning

In this paper, we show the algorithms of carrier-phase-based precise point positioning (PPP) as well as relative positioning based on novel GR equations (: GNSS Regression equations) and their experimental results. GR equations were introduced such that a PPP algorithm were derived in [1,2,3]. The derived PPP algorithm achieved a positioning accuracy at the decimeter error level without any external information. And the extension of the GR equations to the relative positioning was also introduced in [4]. Kalman filter is effectively applied in both of PPP and the relative positioning. In this paper, after reviewing the algorithms of PPP and the relative positioning based on [4], the experimental results using real receiver data collected in the static environment are shown.