Algorithm And Implementation Of Precise Point Positioning Dynamic Solution

Precise point positioning PPP (Precise Point Positioning) is present in the field ofsatellite navigation and positioning research hotspots. The technique only needs to use adual frequency GNSS receiver, can achieve decimeter to centimeter level dynamicpositioning accuracy and centimeter level to millimeter level static positioning accuracy,and has simple model, convenient operation, high efficiency and economy. In recent years,precise point positioning (PPP) technology has become an important research direction ofGNSS precision positioning and navigation, and in many fields has been widelyapplication..Based on the dynamic precise point positioning PPP (Precise Point Positioning)algorithm and model study, prepared PPP procedures, to achieve the precise pointpositioning dynamic solution. At the same time, the adaptive filtering by selection of theparameter weights method was introduced into the PPP data processing, to achieve theprecise point positioning and dynamic static centimeter decimeter precision index.The content of this paper mainly includes the following aspects:One, the basic knowledge of GNSS positioning and precise point positioningdevelopment present situation has carried on the summary; focus on the analysis of theGPS precise point positioning principle, the commonly used PPP function model andstochastic model are studied; the GPS data preprocessing methods are analyzed; the PPPmain error sources and the model of the error correction is deduced.In two, the classical Kalman filter theory and model undertook study, the parametersmeaning and parameter setting of the classical Kalman filter is detailed analyzed. themethod and mode of the adaptive filtering by selection of the parameter weights areanalyzed, and the adaptive filtering by selection of the parameter weights method isintroduced to the precise point positioning data processing.Three, in the MATLAB environment prepared the precise point positioning program.The mathematical model of the Positioning procedures is the traditional model, in theprocess of calculating core portion, respectively using the classical Kalman filter methodwith adaptive filtering by selection of the parameter weights method. From two aspects of static, dynamic positioning accuracy analysis the contribution of adaptive filtering byselection of the parameter weights method in precise point positioning; through thecomparison and analysis of the results accuracy of the precise point positioning, this paperobtains that adaptive filtering by selection of the parameter weights method can effectivelyimprove the precise point positioning accuracy, the thesis reached expected accuracyindex.