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Large-scale GNSS network clean station satellite slant path distance parallelism preprocessing method and device

A pre-processing, large-scale technology, applied in measurement devices, satellite radio beacon positioning systems, climate sustainability, etc., can solve problems such as technical inefficiency, achieve wide applicability, shorten time, and improve timeliness effects

Active Publication Date: 2020-02-04
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a large-scale GNSS network clean station star oblique distance parallel preprocessing method and device for solving the problem of low efficiency in the prior art

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  • Large-scale GNSS network clean station satellite slant path distance parallelism preprocessing method and device
  • Large-scale GNSS network clean station satellite slant path distance parallelism preprocessing method and device

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Embodiment Construction

[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0023] In this embodiment, the network includes multiple nodes, and each node has multiple physical cores to support parallel processing. It is used to access the Internet Information Services (IIS) on the node to call the station-satellite slant radius calculation service.

[0024] When calling the station star slant distance calculation service, the parallel preprocessing method of the clean station star slant distance is started, and the steps are as follows:

[0025] Step 1: Encapsulate the computing service into several asynchronous preprocessing tasks (such as figure 2 Task1, Task2...Taskm), each preprocessing task processes an observation file; multiple preprocessing tasks can be executed in parallel by multiple physical cores of multiple ...

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Abstract

The invention relates to a large-scale GNSS network clean station satellite slant path distance parallelism preprocessing method and device. The method is based on task parallelism and data parallelism, realizes underlying design, and realizes multi-core parallelism execution of large-scale GNSS network observation data format conversion, document checking, clock jump detection and restoration, cycle slip detection and restoration, phase smooth pseudorange and error modification and elimination; based on network multipoint cooperation, a WCF technology is used for building and issuing stationsatellite calculation parallelism calculation network service; the large-scale GNSS network observation data network cooperative clean station satellite slant path distance parallelism calculation inmulti-node environment is realized; and a clean station satellite slant path distance and modification values of various error models are finally obtained. The method and the device provided by the invention have the advantages that the large-scale GNSS network clean station satellite slant path distance parallelism calculation is realized; and the economic and social benefits are huge.

Description

technical field [0001] The invention belongs to the field of processing oblique diameter distances of clean stations in large-scale GNSS networks. Background technique [0002] Data preprocessing is one of the important links in the measurement data processing. In order to meet the requirements of high calculation accuracy and ensure the continuity, integrity and availability of services, the observation information between stations and satellites is used to adopt specific models and algorithms. Continuous monitoring, control, diagnosis and improvement of GNSS (Global Navigation Satellite System) data, products and services, the quality of which directly affects the accuracy and reliability of the solution, and the result of preprocessing is the clean station-to-satellite slant distance. Due to the complexity and diversity of data in large-scale GNSS networks, the preparation of massive source data and calculation auxiliary files will take a lot of time, and the existing eff...

Claims

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Application Information

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IPC IPC(8): G01S19/43
CPCG01S19/43Y02A90/10
Inventor 李林阳吕志平黄娴邝英才王方超吕浩陈正生崔阳黄令勇王宇谱许炜杨凯淳
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU