分级搜索GPS载波相位定位解的遗传算法  

Genetic Optimization Algorithms Graded to Search the Position on GPS Carrier Phase

作　　者：张小超[1] 王一鸣[2] 李良[1] 

机构地区：[1]中国农业机械化科学研究院 [2]中国农业大学信息与电气工程学院

出　　处：《农业机械学报》2005年第8期82-86,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家"863"高技术发展计划资助项目(项目编号:2003AA209040004;2003AA209012);"十五"国家科技攻关计划资助项目(项目编号:2002BA207B)

摘　　要：面向精准农业领域研究开发低成本、高精度的GPS测量系统需要解决GPS载波相位整周模糊度问题,应用模糊度函数法结合浮点数遗传算法搜索定位解是有效的方法。针对遗传算法适应度函数多峰特征的搜索问题,提出分级优选遗传搜索算法。该方法可以提高整周模糊度解的搜索可靠性、稳定性和实用性。通过对大型喷灌机高精度定位、导航系统田间试验数据的验证,表明该算法可行,相对于基本的浮点数遗传算法,搜索正确解的可靠性提高近100倍,而运行时间可减少28.6%。In order to attain high accuracy of GPS satellite navigation and positioning at low cost in precision agriculture, a method that combined ambiguity function with a genetic algorithm was studied. To solve the troubles of fitness function of genetic algorithms which met many peaks during searching for ambiguity solution, it presented a genetic optimization algorithm graded, the precision of repeatedly search for ambiguity would be improved on one hand; and the reliability of genetic algorithm would be enhanced on the other. An experiment was done with application of GPS surveying technology to position the large-scale irrigation system. It showed that the genetic optimization algorithm graded could reach every technical feature. The reliability improved by nearly 100 times compared with the basic genetic algorithm of float, and running time could be reduced by 28.6%.

关 键 词：精准农业 全球定位系统 喷灌机 载波相位 遗传算法 

分 类 号：S12[农业科学—农业基础科学]