Abstract: A method for providing and applying Precise Point Positioning-Integer Ambiguity Resolution (PPP-IAR) corrections for a Global Navigation Satellite System (GNSS). In a GNS signal correction system, PPP-IAR corrections (ambiguities plus receiver and satellite hardware delays) are calculated based on observation data (Pi,a, ?i,a) of n satellites for individual reference stations using a functional model, and these individual PPP-IAR corrections are merged into one single and larger set of PPP-IAR corrections. In a broadcast system, the (merged) PPP-IAR corrections are encoded at a System Control Centre (SCC) and transmitted to mobiles. In a mobile system a similar functional model is used to calculate a correction ?x to an a priori position.

Abstract: Method for precise GNSS positioning system with improved ambiguity estimation. The method is based on the realization that, especially during convergence, the estimated float ambiguities are biased when estimated simultaneously with the ionosphere parameters. The “ionosphere-like” biases can be separated from the actual float ambiguities by using the fixed wide-lane (or extra wide-lane) integer ambiguities. The original real-valued ambiguities (e.g., one of L1, L2 and L5 in the GPS case) are corrected using the corresponding biases, resulting in reliable float ambiguities that are taken as input in the next processing step.

Abstract: A method for providing and applying Precise Point Positioning-Integer Ambiguity Resolution (PPP-IAR) corrections for a Global Navigation Satellite System (GNSS). In a GNS signal correction system, PPP-IAR corrections (ambiguities plus receiver and satellite hardware delays) are calculated based on observation data (Pi,a, ?i,a) of n satellites for individual reference stations using a functional model, and these individual PPP-IAR corrections are merged into one single and larger set of PPP-IAR corrections. In a broadcast system, the (merged) PPP-IAR corrections are encoded at a System Control Centre (SCC) and transmitted to mobiles. In a mobile system a similar functional model is used to calculate a correction ?x to an a priori position.

Abstract: Method for precise GNSS positioning system with improved ambiguity estimation. The method is based on the realization that, especially during convergence, the estimated float ambiguities are biased when estimated simultaneously with the ionosphere parameters. The “ionosphere-like” biases can be separated from the actual float ambiguities by using the fixed wide-lane (or extra wide-lane) integer ambiguities. The original real-valued ambiguities (e.g., one of L1, L2 and L5 in the GPS case) are corrected using the corresponding biases, resulting in reliable float ambiguities that are taken as input in the next processing step.

Abstract: Global Navigation Satellite (GNS) signal correction system (2) for estimating and transmitting GNSS signal corrections (A) to a mobile station (30). A method is implemented for providing correction data in a Global Navigation Satellite System (GNSS) based Precise Relative Positioning (PRP) system. The correction data is determined using one or more reference stations, and transmitted to a mobile station with a primary update frequency. The correction data comprises one or more subgroups of correction data (B, I, T), and the one or more subgroups of correction data (B, I, T) are transmitted with a mutually different secondary update frequency (f1, f2, f3). Also a mobile station (30) is described using the present invention embodiments.