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A network rtk ambiguity resolution method based on non-difference and non-combination model

A non-difference, non-combination, ambiguity technology, applied in the field of global navigation satellite system satellite positioning, can solve the problem of non-difference fuzzy loss of integer characteristics

Active Publication Date: 2017-03-15
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

In the non-combined observation equation, the receiver and satellite carrier pseudo-range bias items are absorbed by the ambiguity, which makes the undifferenced ambiguity lose the integer characteristics

Method used

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  • A network rtk ambiguity resolution method based on non-difference and non-combination model
  • A network rtk ambiguity resolution method based on non-difference and non-combination model
  • A network rtk ambiguity resolution method based on non-difference and non-combination model

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] Such as figure 1 As shown, a network RTK ambiguity resolution method based on the non-difference and non-combination model. The clock difference product is added as a pseudo-observation; then according to the user's location, the non-difference ambiguity of the user's adjacent sites is extracted, one of the adjacent sites is selected as the reference site, and the integer characteristics of the double-difference ambiguity are obtained by using the difference operator to restore, Single epochs obtain double-differenced ambiguity results with integer properties. The inventive method comprises the following concrete steps:

[0043] Step 1), use the original observation values ​​of each station to estimate the single-station undifference ambiguity of each station, and estimate the satellite clock error as an unknown parameter; the non-combined observation equation...

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Abstract

The invention discloses a network RTK (real-time kinematic) ambiguity resolution method based on an un-differential uncombined model. The un-differential uncombined model is used to estimate single-station un-differential ambiguity of a whole network, a satellite clock is used as an unknown parameter, and a real-time satellite clock bias product is added as a pseudo-observable; according to a user's position, un-differential ambiguity of stations adjacent to the user is extracted, one of the adjacent stations is selected as a reference station, integer features of double-difference ambiguity are acquired by reduction through difference operators, double-difference ambiguity results with the integer features are acquired by a single epoch method. The network RTK (real-time kinematic) ambiguity resolution method based on the un-differential uncombined model has the advantages that capacity of calculation for large-scale reference station networks can be effectively improved, the influence of barometric error and length upon double-difference ambiguity fixing is weakened, the double-difference model is less ill-conditioned, difference resistance of the model and ambiguity fixing success rate are increased.

Description

technical field [0001] The invention relates to the field of global navigation satellite system (GNSS) satellite positioning, in particular to GNSS non-difference and non-combined precise single point positioning. Background technique [0002] With the gradual increase in the number of reference stations and the compatibility of multi-system and multi-frequency signals, a large-scale CORS (Continuous Operational Reference System: Continuous Operational Reference System) system has been widely constructed and has gradually become an important national infrastructure to support high-precision positioning applications. Users can use the multi-reference station network to obtain centimeter-level positioning accuracy in real time. [0003] In the current network RTK application, it is necessary to ensure the correct calculation of the double difference ambiguity, so that the difference correction information of the whole network and the VRS observation value can be generated, so ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/44
CPCG01S19/44
Inventor 潘树国汪登辉高成发邓家栋杨徉
Owner SOUTHEAST UNIV
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