Method for determining baseline vector, server and computer storage medium

Abstract

The embodiment of the present invention discloses a method for determining a baseline vector. The method includes: receiving satellite observation data from a first measurement station and satellite observation data from a second measurement station, and selecting a baseline vector that satisfies preset conditions and belongs to the first measurement. the common satellites of the station and the second measuring station; based on the observation data of the public satellites in the first satellite system and the observation data of the public satellites in the second satellite system, determine the estimated values ​​of the baseline vectors of the first measuring station and the second measuring station; Determine the double-difference integer ambiguity of the first satellite system; determine the double-difference integer ambiguity of the second satellite system; according to the observation data of the public satellites in the first satellite system, the double-difference integer ambiguity of the first satellite system, The observation data of the public satellite in the second satellite system and the double-difference integer ambiguity of the second satellite system are used to determine the baseline vectors of the first measuring station and the second measuring station. The embodiment of the invention also discloses a server and a computer storage medium at the same time.

Description

technical field [0001] The invention relates to satellite positioning technology, in particular to a method for determining a square baseline vector, a server and a computer storage medium. Background technique [0002] Carrier phase differential technology (RTK, Real-time kinematic) is a differential method for real-time processing of carrier phase observations of two measurement stations, and sends the carrier phase collected by the base station to the user receiver for difference calculation and coordinate calculation. [0003] At present, in order to determine the position of the user receiver and achieve the purpose of high-precision positioning measurement, the following methods can be used: one is based on dual-frequency point or multi-frequency point RTK to accurately locate, although this method is based on dual-frequency point Or multi-frequency points have the characteristics of fast speed and high reliability, but this method is expensive and not conducive to lar...

AI Technical Summary

Problems solved by technology

[0003] At present, in order to determine the position of the user receiver and achieve the purpose of high-precision positioning measurement, the following methods can be used: one is based on dual-frequency point or multi-frequency point RTK to accurately locate, although this method is based on dual-frequency point Or multi-frequency points have the characteristics of fast speed and high reliability, but this method is expensive and not conducive to large-scale promotion; the other is based on single-system single-frequency point RTK to accurately locate, wherein, based on single-system single-frequency point The RTK ambiguity initialization time generally takes more than a few minutes, the stability of ambiguity calculation is relatively poor, and the positioning efficiency and reliability are low. Generally, it can only be used for long-term positioning, which leads to poor real-time positioning; It can be seen that the existing RTK-based positioning methods have poor positioning efficiency.

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