Dynamic phase ambiguity resolution for GPS attitude determination using Gaussian sum filtering

摘要

Abstract: The problem of dynamic phase ambiguity resolution and filtering for interferometric GPS attitude determination is considered. Traditionally, the resolution of the phase ambiguity and the filtering stages were performed separately, with the filter formulated on the basis that the phase ambiguity is correctly resolved. Should the pre- processing stage not resolve the ambiguity correctly, erroneous results may occur. In response, a unified approach is proposed in which the ambiguity resolution and filtering processes are combined under a Gaussian sum filtering (GSF) framework. In addition, the consideration of the carrier Doppler shift information leads to a dynamic phase ambiguity resolution model which is naturally enveloped by the GSF paradigm. Simulated results in both static and dynamic attitude scenarios illustrate the statistical robustness of the GSF methodology. !18