基于遗传算法的GPS姿态测量技术

A New Technique of GPS Attitude Determination Based on Genetic Algorithm

提出了一种新的GPS载波相位姿态测量搜索技术。它是一种基于遗传算法（GeneticAlgorithm,GA）,采用二值编码、最佳保留（Elitist Model）选择机制和模糊度函数法的适应度函数,并以分级方式（粗搜索GA和精搜索GA）进行最优搜索,实现GPS姿态快速测定。试验结果表明:该方法对复杂搜索空间的搜索效率高、速度快,并且对周跳不敏感。

This paper presents a new search technique that uses a genetic algorithm for attitude determination based on GPS carrier phase signals, in which a two-value coding, an elitist model selection and the fitness function according to Ambiguity Function Method are used. The search technique includes coarse GA and fine GA. The experimental results show that the search technique is able to efficiently and rapidly search the complex space, in addition to being immune to cycle slips.