实数编码加速遗传算法在GPS变形监测单历元求解中的应用  

Application of Real Coded Acceleration Genetic Algorithm in Single Epoch Ambiguity Resolution

作　　者：王建[1] 张献州[1] 

机构地区：[1]西南交通大学地球科学与环境工程学院,四川成都610031

出　　处：《测绘科学技术学报》2012年第3期188-191,共4页Journal of Geomatics Science and Technology

基　　金：中央高校基本科研业务费专项资金资助项目(SWJTU10ZT02)

摘　　要：提出了一种基于实数编码加速遗传算法(RAGA)和模糊度直接计算的GPS变形监测单历元求解新算法。该方法以模糊度函数为适应度评价函数,采用自适应变化率的交叉算子和变异算子对监测点的坐标进行全局最优搜索。当监测点的坐标误差小于某一阈值时,采用直接计算法可固定双差模糊度,实现单历元解算。实例验证该算法具有快速、稳健和可靠等特点,具有一定的实际应用价值。A new single epoch algorithm based on real coded acceleration genetic algorithm and ambiguity direct calculation algorithm was proposed. In the method, the ambiguity function are used as fitness function, the a- daptive crossover and adaptive mutation are taken to search the optimal coordinate of the monitoring point in the whole region. The double difference ambiguity can be accurately fixed and the single epoch ambiguity reso- lution can be brought about by the direct calculation algorithm when the coordinate error is lower than a given threshold. The testing data validates that the method is fast, robust, reliable and can be applicated to practice.

关 键 词：加速遗传算法 实数编码 模糊度函数 单历元算法 变形监测 

分 类 号：P228[天文地球—大地测量学与测量工程]