Research On Optimized ARCE Algorithm For The Integer Ambigutiy Resolution And TEC Test

In order to not solve correctly the integer ambiguity resolution, but also improvethe calculation efficiency, thus research on kinds of fast ambiguity resolutionalgorithms.Based on the existing integer ambiguity resolution analysis, select ARCE algorithmas research object. ARCE algorithm for single epoch easily show pathological matrixequation, which leads to floating-point solution unreliable.Based on TIKHONOVregularization method optimizes ARCE algorithm to improve pathological, and the TECchange value inspects the integer ambiguity resolution effectiveness.By the combination methods of theoretical analysis and experiment, it validatesoptimized ARCE algorithm in single-epoch ambiguity resolution superiority, and TECchange value verifies the optimized ARCE algorithm in single-epoch ambiguityresolution effectiveness. The result shows that the success rate of the optimized ARCEalgorithm than conventional ARCE algorithm in the single-epoch ambiguity resolution.When increasing the number of epochs, the success rate of the traditional ARCEalgorithm and optimized ARCE algorithm continuously increases.When the number ofepochs reaches a certain level, the traditional ARCE algorithm and optimized ARCEalgorithm solver have the same success rate. It shows that the optimized ARCEalgorithm can overcome the inadequacies of the ARCE algorithm, and retains itsadvantages to be applied to single epoch and multi-epoch ambiguity resolution.Conclusion preliminary breaks through for the original ARCE algorithmunderstanding, contributes to the integer ambiguity resolution.