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.