摘要
基于长春SLR站和武汉流动SLR站的6组观测数据,研究了卫星激光测距指向误差的分布特性,提出用遗传算法将观测样本数据分组后利用转台模型建模。结果表明:高度误差和方位误差具有规律性;模型输出的指向误差的残差不一定符合正态分布;遗传算法能提高模型的精度。
Aiming at the problem of the pointing error of satellite laser ranging, the six groups observation data from Changchun SLR station and Wuhan mobile SLR station are analyzed, and the distribution of pointing error is also studied, We propose a model which uses a mount model after dividing the observation data by the genetic algo- rithm. The result shows that the error distribution of elevation and azimuth angles has certain regularity, and the re- sidual error does not necessarily meet the normal distribution, and the genetic algorithm can improve the accuracy of model.
出处
《大地测量与地球动力学》
CSCD
北大核心
2013年第A02期126-128,共3页
Journal of Geodesy and Geodynamics
基金
中国地震局地震研究所所长基金(IS201156086)
关键词
指向误差
卫星激光测距
正态性检验
遗传算法
转台模型
pointing error
Satellite Laser Ranging(SLR)
normality test
genetic algorithm
mount model