摘要
研究了非差GPS精密单点测量中几种常用的随机模型,提出了基于卫星低仰角的cosine平方随机模型。对上海IGS站和北京IGS站的观测数据分别进行了处理,结果表明,利用cosine平方随机模型的天顶延迟结果优于传统的随机模型结果。
We compare several stochastic models used in GPS PPP mode. The results s that the precision of PPP-derived ZPD can be obviously improved through a suitable stoc tic model for GPS measurements. Low-elevation observations cover more information w how hashich can improve the estimation of ZPD. The new stochastic model based on satellite low elevation angle cosine square is proposed. The results show that the stochastic model using satellite elevation angle-based cosine square function is better than previous stochastic models, for example, sine square stochastic model and sinestep model.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2009年第9期1098-1101,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(60771038)