摘要
从非线性优化角度对GPS单点定位问题进行了分析,建立了GPS单历元单点定位的遗传算法数学模型,并与常规线性化最小二乘平差的定位结果进行了比较。
The problem of GPS single-point positioning in view point of nonlinear least square and the superiority of GA in solving GPS nonlinear optimization problems are analyzed. The results of the practical data processing show that it is feasible for GPS single-point positioning based on genetic algorithm to attain the precision of meters＇ level. Compared with the results of linear least square method, the results of genetie algorithm are in the same level of positioning precision.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2007年第1期35-38,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40304001)
广西自治区自然科学基金资助项目(0339072)
关键词
GPS单点定位
遗传算法
非线性优化
GPS single-point positioning
genetic algorithm
nonlinear optimization
