摘要
在GPS导航定位中,单频接收机利用导航电文发播的Klobuchar电离层改正模型对电离层误差进行改正,但改正效果不太理想,为了提高其改正精度,并利用它进行电离层实时预报,我们通过电离层电子含量实测数据,对其进行精化,以满足要求。本文在原有Klobuchar电离层改正模型精化的基础之上,提出了一种新的精化方法,并对两种方法进行了比较研究,结果表明这两种精化方法对电离层的改正均有很好地提高,且本文提出的方法更优良。
In GPS positioning applications, a single-frequency receiver always uses Klobuchar ionospheric delay correction model, of which parameters are obtained from the broadcasting ephemerics, to correct the ionospheric time delay error, but the effect of this correction is limited. In order to increase the accuracy of correction and predict Tec, we should update the model using observation data of ionospheric electron content to improve correction precision. In this paper, a new updating method to Klobuchar ionospheric delay correction model was created based on one former updating method. At the same time, a study of comparison between two methods was given. The result shows that these two updating methods are superor to the broadcasting ephemeris Klobuchar ionospheric delay correction model, and the updating method proposed in this paper is the best one.
出处
《测绘科学》
CSCD
北大核心
2009年第5期49-51,共3页
Science of Surveying and Mapping
关键词
电离层时延
实时预报
精化模型
松弛搜索法
ionospheric time-delay
real-time prediction
updating model
relaxation search method