摘要
GPS单点定位是当前GPS领域的前沿方向,寻求合适的算法以实现目标点三维坐标的快速解求具有现实意义。文中分析GPS单点定位的实用数学模型及误差源,建立遗传算法的单点定位模型。基于非线性化最小二乘原理的适应度函数定义,使得算法具有成熟严格的理论依据;遗传算子的比较选择,使得模型的稳定性更强。试验证明了该算法适用于GPS动态单点定位数学模型,并能够以较快收敛速度和较高的精度趋近期望值。
GPS point positioning is the current frontier of the field of GPS,searching for a suitable algorithm for rapid receiving three-dimensional coordinates of target has practical significance.This paper analyzes the mathematical model of GPS single-point positioning and error sources,sets up the model of single-point position based on genetic algorithm.Definition of fitness function based on no-linear least squares principle make the algorithm with rigorous and mature theoretical basis,and comparison of selection of genetic operator enhances the stability of the model.Tests prove that genetic algorithm is suitable for GPS real time point positioning,and is able to approach to expectations with a faster rate and higher accuracy.
出处
《测绘科学》
CSCD
北大核心
2009年第S2期18-20,共3页
Science of Surveying and Mapping
基金
教育部博士学科点专项科研基金(编号:20060147004)
辽宁省高等学校创新团队项目(编号:2008T085)
辽宁省高等学校重点实验室项目(编号:2009S049)
