基于遗传算法的整周模糊度解算方法

AMBIGUIY RESOTION USING GENETIC ALGORITHM

在卡尔曼滤波的基础上 ,利用高斯变换降低各整周模糊度之间的相关性 ,然后利用遗传算法进行搜索 ,提出了自适应遗传算法 ,改进了搜索效果 ,仿真结果表明 。

A new algorithm based on the adaptive genetic algorithm is formulated to ambiguity resolution. Gauss transformation is used to reduce correction after Kalman filter, then integer ambiguity is searched for in transformed space using the genetic algorithm. Simulation shows the Adaptive GA is more robust and efficacious compare with Simple GA.