Large-scale GNSS data processing method based on GPU

A technology for data processing and data preprocessing, applied in the field of satellite navigation and positioning, it can solve the problem of time-consuming and long-time calculation of the entire network, and achieve the effects of no accuracy loss, improved calculation time, and practicality and convenience.

Active Publication Date: 2020-05-29
SHANDONG UNIV
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AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the technical problem that the whole network takes too long to solve the existing GNSS large-scale data processing process, and provides a GPU-based large-scale GNSS data processing method with fast data processing speed and high precision.

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  • Large-scale GNSS data processing method based on GPU

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Embodiment Construction

[0020] Specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0021] Such as figure 1 As shown, the present invention provides a kind of large-scale GNSS data processing method based on GPU, and it realizes through the following steps:

[0022] Step 1: Data reading and preprocessing

[0023] (1) After preparing the corresponding observation files, precise ephemeris clock errors and related correction files, start data reading and preprocessing; data preprocessing includes clock error calculation, gross error detection, cycle slip detection and Residual error checking, etc.;

[0024] (2) Eliminate observation data with poor data quality to provide data basis for the construction of subsequent method equations;

[0025] (3) Parallelize the processing process that can be solved independently in data preprocessing, such as clock error calculation based on SPP, and baseline processing for residual error chec...

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Abstract

The invention provides a GPU (Graphics Processing Unit)-based large-scale GNSS (Global Navigation Satellite System) data processing method and solves a technical problem that whole network resolving consumes too long time in the GNSS large-scale data processing process in the prior art. The method comprises steps of reading and preprocessing data; constructing a normal equation; eliminating parameters; resolving the normal equation; and controlling data quality and outputting a result product. The method can be widely applied to the field of satellite navigation positioning.

Description

technical field [0001] The invention relates to the field of satellite navigation and positioning, in particular to a GPU-based large-scale GNSS data processing method. Background technique [0002] With the development of GPS, GLONASS, Galileo, and BDS, many reference station networks can receive multi-system and multi-frequency data. GNSS multi-system joint positioning is very important for the reference frame, time reference and positioning user applications. Multi-frequency and multi-frequency Modular data technology brings richer data to GNSS data processing, but also increases the complexity and processing time of the solution. Therefore, it is necessary and meaningful to improve the efficiency of large-scale GNSS data network solution. [0003] The coordinate accuracy of the GNSS high-precision overall network solution station reaches the millimeter level, which can provide a high-precision, high-reliability global unified space-time reference frame and position bench...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/37G01S19/42G01S19/24
CPCG01S19/243G01S19/37G01S19/421
Inventor 徐天河蒋春华江楠
Owner SHANDONG UNIV
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