The reduction of computational cost in GNSS data network processing

GNSS data processing for precise point positioning network side is considered in the article. To calculate the corrections related to the satellites system core center collects and filters huge amount of observations. Among the others routine matrix algorithms are applied to estimate the polynomial...

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Bibliographic Details
Main Authors: Podkorytov, Andrey, Ryapukhin, Anatoly
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Computational efficiency
Computing costs
Cost analysis
Data processing
Global navigation satellite system
Mathematical analysis
Polynomials
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Online Access:Get full text
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Summary:GNSS data processing for precise point positioning network side is considered in the article. To calculate the corrections related to the satellites system core center collects and filters huge amount of observations. Among the others routine matrix algorithms are applied to estimate the polynomial coefficients, it requires a lot of computational resources. Instead of the application of matrix operations we suggest to apply a linear combination of the previous measurements to represent a polynomial value. Two network structures are analyzed and significant reduction of computational cost is shown.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0092984