基于自适应遗传算法的DGPS整周模糊度快速解算

 鉴于遗传算法(GA)所具有的全局搜索特性,也为了更快速准确地解算差分全球定位系统(DGPS)整周模糊度,将自适应遗传算法(AGA)引入DGPS整周模糊度的搜索中。首先根据全球定位系统(GPS)载波相位双差方程求解出双差整周模糊度的浮点解,并以基线长度作为约束条件确定整周模糊度的搜索范围;然后利用白化滤波的方法对整周模糊度进行降相关处理,降低整周模糊度各分量之间的相关性;最后将自适应遗传算法应用在整周模糊度的解算过程中,搜索整周模糊度的最优解。仿真计算结果表明,与LAMBDA算法和简单遗传算法相比,自适应遗传算法能够快速地求解整周模糊度,也具有较好的可靠性和鲁棒性。

Fast DGPS Integer Ambiguity Resolution Using Adaptive Genetic Algorithm

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.