A Minimum Size of the Search Cube in the MAFA-ILS Method
| Autor: | Slawomir Cellmer, Dawid Kwaśniak, Krzysztof Nowel |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Ambiguity function Computer science 0211 other engineering and technologies Integer least squares Cube (algebra) 02 engineering and technology 01 natural sciences Domain (software engineering) Effective solution Task (computing) GNSS applications Algorithm 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Proccedings of 10th International Conference "Environmental Engineering". |
| DOI: | 10.3846/enviro.2017.222 |
| Popis: | The Modified Ambiguity Function Approach - Integer Least Squares (MAFA-ILS) is one of the modern method for the precise real-time GNSS positioning, for many applications such as geodesy or surveying engineering. Contrary to the classic approach, in the MAFA-ILS method the solution is sought in the coordinate domain. However, to obtain a proper solution, the search region cannot be too small. On the other hand, to have an effective solution - in the computational load sense - this region cannot be too big. In this case the determination of the minimum size of appropriate search region is not a trivial task. The paper presents a certain solution of this problem. DOI: https://doi.org/10.3846/enviro.2017.222 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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