Integer ambiguity search algorithm based on adaptive differential evolution algorithm

Zheng Dou; Yang Wu

doi:10.1117/12.2557621

3 January 2020 Integer ambiguity search algorithm based on adaptive differential evolution algorithm

Zheng Dou, Yang Wu

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113732P (2020) https://doi.org/10.1117/12.2557621
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

A new integer ambiguity estimation method which can improve computational speed and accuracy of ambiguity estimation significantly is proposed in this paper. Firstly, the carrier-phase double-difference equation is used to solve the float solution of the double-difference integer ambiguity. Then, the float solution is decorrelated by the inverse integer Cholesky algorithm. Finally, the adaptive differential evolution algorithm (ADE) is applied to search for the optimum solution of integer ambiguity. Simulation results show that ADE has a faster convergence speed and is more robust than other intelligent algorithms, and ADE has a higher success rate of estimation than those traditional integer ambiguity estimation algorithms.

Citation Download Citation

Zheng Dou and Yang Wu "Integer ambiguity search algorithm based on adaptive differential evolution algorithm", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113732P (3 January 2020); https://doi.org/10.1117/12.2557621

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