The invention provides a GNSS partial
ambiguity fixed acceleration method based on isomorphic
multiplexing, and the method comprises the steps: carrying out the first complete
decorrelation calculation of a
covariance matrix of a first
ambiguity subset, and systematically recording the
decorrelation transformation information of the first
ambiguity subset; when a subsequent ambiguity subset is processed, pre-transforming the
covariance matrix of the current subset into a state closer to a
decorrelation characteristic by utilizing the structure isomorphism between the
covariance matrix of the current subset and the
covariance matrix of the previous subset and
multiplexing the recorded transformation information, and taking the state as an efficient starting point of iterative optimization; therefore, completely independent and time-consuming correlation reduction operation is prevented from being carried out on each subset
covariance matrix from zero. According to the method, the overall calculation burden of sequential drop correlation in the partial ambiguity fixing process is remarkably reduced, the calculation efficiency is greatly improved, and the method is particularly suitable for a low-cost GNSS
receiver and other high-real-time application platforms which have strict real-time requirements or are limited in calculation power.