ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Fast DGPS Integer Ambiguity Resolution Using Adaptive Genetic Algorithm
Received date: 2012-03-27
Revised date: 2012-07-25
Online published: 2012-08-09
Supported by
National Natural Science Foundation of China (61102107); China Postdoctoral Science Foundation (20100480979)
In view of the advantage of genetic algorithm (GA) for searching global optimization results, an adaptive genetic algorithm (AGA) is applied to search difference global positioning system (DGPS) integer ambiguity to resolve the DGPS integer ambiguities rapidly and correctly in this paper. The global positioning system (GPS) carrier phase double-difference equations are used to resolve double-difference integer ambiguity float estimations, while the baseline length is to determine the integer ambiguity search range as a constraint. The white-filter algorithm is used to decorrelate the integer ambiguities and eliminate the correlation of each ambiguity float estimation. Finally the adaptive genetic algorithm is proposed to search the integer ambiguity optimization results. Numerical simulation results show that adaptive genetic algorithm can resolve rapidly the integer ambiguities, and that the results using adaptive genetic algorithm are more reliable and robust than those obtained by least-square ambiguity decorrelation adjustment (LAMBDA) and simple genetic algorithms.
XU Dingjie , LIU Mingkai , SHEN Feng , ZHU Liye . Fast DGPS Integer Ambiguity Resolution Using Adaptive Genetic Algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(2) : 371 -377 . DOI: 10.7527/S1000-6893.2013.0042
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