Zusammenfassung
Summary
The signal-to-noise ratio (SNR) from GNSS receivers allows computing the height of a reflecting surface by means of interference pattern technique (IPT). In classical IPT the distance between the GNSS antenna and the reflector is derived using a Lomb-Scargle periodogram (LSP) which is calculated for every satellite involved separately and the solutions are combined later. An enhanced approach uses a consistent computation of the reflector height from all observations of all satellites in a single estimation step. This is achieved by replacing the LSP analysis by an appropriate common least squares adjustment for all satellites in which the reflector height could be expressed as a function in time and space. The cost function depends on the parameters of such a function and can be used as an objective function in a global optimization based on interval analysis. The method is demonstrated using a simulated data set derived from real measurements on the Weser River and the results of an optimization are presented.