Ginan.cpp File Reference

High level operational flows for Ginan__() More...

Detailed Description

High level operational flows for Ginan__()

Functions
FileType	JSON__ ()
FileType	IGS_Files__ ()
Architecture	State_Propagation__ ()
Architecture	Error_Handling__ ()
Library	Eigen__ ()
	Linear algebra library.
Library	Boost__ ()
	C++ Extensions.
Library	Yaml_Cpp__ ()
	YAML file-format parser.
Library	Sofa__ ()
	Analytic reference frame and timing routines.
Library	JPL_Planetary_Ephemerides__ ()
Library	MongoCxx__ ()
	C++ MongoDB API.
Library	Doxygen__ ()
	Automated source code documentation generator.
Library	RTKLib__ ()
	GNSS processing toolkit.
Library	IERS2010__ ()
Architecture	Libraries__ ()
	3rd-party libraries extend functionality.
Architecture	Augmentation__ ()
Architecture	Pea__ ()
	Ginan's main processing executable.
Architecture	Ginan_EDA__ ()
	Exploratory Data Analysis tool.
Architecture	Auto_Download__ ()
	Download files required by processing.
Architecture	Python_Scripts__ ()
	Utility scripts and visualisations.
Architecture	Ginan__ ()
	Ginan is a toolkit for processing GNSS measurements to produce precise positioning products.

Function Documentation

Augmentation__()

Architecture Augmentation__

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Auto_Download__()

Architecture Auto_Download__

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Download files required by processing.

The utility allows the user to specify a date range and data of interest which will be downloaded from CDDIS, GA archives, and other sources.

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Boost__()

Library Boost__

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C++ Extensions.

Boost is a de-facto standard library that includes extensions for the C++ STL.

Ginan uses boost modules including

• Logging : Extensible logging with severity
• Runge Kutta : Differential equation propagators
• Binary Archive : Automatic binary storage/retrieval of complex variables and containers
• ASIO : TCP/IP networking

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Doxygen__()

Library Doxygen__

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Automated source code documentation generator.

In addition to generating documentation from source code, it is used to produce architectural flow-charts of high-level software features.

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Eigen__()

Library Eigen__

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Linear algebra library.

A de-facto standard that provides scientific-familiar notation for linear algebra calculations. Eigen automatically performs calculations over multiple processor cores when possible, vastly increasing comutation throughput. It supports both dense and sparse matrices, slicing of subsets of matrices, and various decomposition and inversion methods - all of which are used extensively throughout Ginan.

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Error_Handling__()

Architecture Error_Handling__

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Ginan__()

Architecture Ginan__

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Ginan is a toolkit for processing GNSS measurements to produce precise positioning products.

As a system it comprises a C++ executable known as the Pea, with additional scripts and databases used for visualisation and post-processing data.

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Ginan_EDA__()

Architecture Ginan_EDA__

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Exploratory Data Analysis tool.

Allows the user to retrieve information from a mongo database for plotting. The tool runs in a web-browser and allows for plotting of states, measurements and their residuals, and various time-series comparisons. The datasets may be truncated to eliminate periods of unconverged data, and have polynomial trends calculated and removed.

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IERS2010__()

Library IERS2010__

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IGS_Files__()

FileType IGS_Files__

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JPL_Planetary_Ephemerides__()

Library JPL_Planetary_Ephemerides__

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JSON__()

FileType JSON__

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Libraries__()

Architecture Libraries__

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3rd-party libraries extend functionality.

Open source de-facto industry standard libraries are used to ensure long-term support into the future. They provide functionality which is outside the scope of the Ginan project.

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MongoCxx__()

Library MongoCxx__

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C++ MongoDB API.

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Pea__()

Architecture Pea__

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Ginan's main processing executable.

Written in C++, the Pea is a highly-configurable, application-specific, robust, kalman filter. It

• allows for vast configuration using the YAML configuration files,
• contains parsers for nearly all file-formats used in GNSS positioning,
• contains models and estimators for all major phyical phenomena affecting satellites, receivers, and the atmosphere between them,
• has an extended-kalman-filter, with automatic bookkeeping, for estimation of parameters of interest,
• can detect mismodelled states and measurements, and respond robustly to errors after attributing their source,
• is capable of smoothing results using optimal sets of stored available data, and
• can output nearly every applicable file format, making it a complete solution to GNSS processing.

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Python_Scripts__()

Architecture Python_Scripts__

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Utility scripts and visualisations.

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RTKLib__()

Library RTKLib__

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GNSS processing toolkit.

Ginan was once based heavily on the RTKLib library, but has been converted to c++, and modified heavily to be object-oriented and suit the processing schemes used in Ginan.

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Sofa__()

Library Sofa__

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Analytic reference frame and timing routines.

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State_Propagation__()

Architecture State_Propagation__

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Yaml_Cpp__()

Library Yaml_Cpp__

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YAML file-format parser.

The Pea makes great use of the heirarchical structure provided by YAML configuration files. This library agnostically parses files, ensuring compatibility with the YAML standard, and provides structured output for the Peas configuration functions to traverse.

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