Rapid fixing method and system of fuzziness between GNSS network RTK reference stations

Abstract

The invention discloses a rapid fixing method and system of fuzziness between GNSS network RTK reference stations. The method comprises steps of S1 resolving a double-difference fuzziness floating point solution between the GNSS network RTK reference stations; S2 constructing a virtual indirect adjustment observation model and a constraint according to the double-difference fuzziness floating point solution; S3 using the virtual indirect adjustment observation model and the constraint as an observation equation and a limiting condition in an accompanied limiting condition indirect adjustment model, establishing an indirect adjustment resolving model of an accompanied limiting condition, and resolving an optimal floating point solution of the double-difference fuzziness; and S4 using a least square reduction related adjustment method to carry out searching calculation on the optimal floating point solution of the double-difference fuzziness, and determining the double-difference fuzziness. According to the invention, enclosed constraints of the fuzziness between the reference stations are fully used; the searching range of the fuzziness floating point solution is reduced; and the fuzziness fixing efficiency is improved.

Description

technical field [0001] The invention relates to a method for determining ambiguity, in particular to a method and system for quickly fixing ambiguity between GNSS network RTK reference stations. Background technique [0002] In network RTK technology, whether it is to establish an error model or calculate a high-precision comprehensive error, the correct determination of the double-difference ambiguity between reference stations is the first condition. Due to the long distance between network RTK reference stations, quickly determining the ambiguity between long baseline reference stations is the key to improving the efficiency of network RTK initialization. [0003] In the fixation of ambiguity between network RTK reference stations, due to the long baseline, the delay of double-difference ionosphere and troposphere has a great influence on the fixation of double-difference ambiguity, and the estimation of double-difference ionosphere and troposphere generally takes a perio...

AI Technical Summary

Problems solved by technology

[0005] However, the current algorithm for the utilization of ambiguity closure conditions between reference stations is not perfect, and there is a lack of systematic constraint algorithms that transform the ambiguity closure constraints into observation domain or ambiguity search domain constraint equations

In most cases, the ambiguity closure constraint is only used for the reliability test of ambiguity fixation, but there is no improvement in the efficiency of ambiguity fixation between reference stations. Accessibility with ambiguity fixation

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