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A MINIMUM SIZE OF THE SEARCH CUBE IN THE MAFA-ILS METHOD
Last modified: 2017-09-27
Abstract
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
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