A proper choice of the observation weight matrix is of importance for both adjusting and testing GPS data. Our understanding of the noise characteristics of GPS observations, on which the weight matrix should be based, is however still underdeveloped. This makes it difficult to draw up an appropriate weight matrix. The first and foremost purpose of this contribution is therefore to draw attention to the need to improve upon our rudimentary knowledge of the GPS stochastic model. To this end, results will be presented of a relatively simple casestudy in which the possible presence of cross-correlation between observables is considered. With these results we hope to spur further discussion and research on this important topic.
main function of this software is to detect slips and outliers in phase and code observations in real time. In addition, the software also allows the validation of the information contained in the broadcast navigation messages.The results of the IGEX-98 data analyses will be presented in a three-part series. In this second part of the series, GLONASS outlier and slip statistics will be discussed in detail. The first part was concerned with the availability of GLONASS observations, while in the third one the broadcast navigation message validation results will be considered.he Delft University of Technology has traditionally been involved in research towards quality control of (geodetic) observations. Originally applied to conventional surveying techniques, the quality control procedures developed at the Delft University were also utilized within the context of the Dutch Permanent GPS array, (de Jong, 1996). The dual-frequency GPS receivers at the reference stations of the array employ dedicated integrity monitoring software to ensure the quality and reliability of the observations.
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