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Single frequency GNSS integer ambiguity resolution with adaptive genetic algorithm

Authors: Dingjie Xu; Mingkai Liu; Liye Zhu;

Single frequency GNSS integer ambiguity resolution with adaptive genetic algorithm

Abstract

According to genetic algorithm (GA) has the advantage to resolve the global numerical value optimization problems in robust and parallel way, the adaptive genetic algorithm(AGA) is applied to resolve the single frequency GNSS carrier phase integer ambiguity in this paper. The fitness function based on the non-linear integer weighted Least-square principle is constructed, while the baseline length is to determine the integer ambiguities search range as the constraint. Finally the adaptive genetic algorithm (AGA) is applied to resolve the integer ambiguity. Simulation numerical results show that the resolution with adaptive genetic algorithm is more robust and reliable than simple genetic algorithm (SGA).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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