实时估计不同类型北斗卫星观测值的随机模型

发布时间：2018-04-14 11:03

本文选题：北斗卫星 + 随机模型　；参考：《武汉大学学报(信息科学版)》2017年02期

【摘要】：为分析北斗卫星观测值随机特性,估计了地球静止轨道、倾斜地球同步卫星轨道、中地球轨道卫星载波相位观测值的方差分量。发现不同接收机和不同类型卫星观测值方差分量的大小和时变特性具有明显差异。为构建更切实际的方差结构随机模型,提出利用迭代最小二乘和最小范数二次无偏估计相结合的方法,实时估计不同类型北斗卫星观测值方差分量。为评估实时估计随机模型的性能,对243m、645m、10 137m三条不同长度基线进行精密相对定位测试,结果表明:实时估计随机模型能有效改善北斗卫星精密单历元动态相对定位性能,尤其当站间距离较长时改善更显著。10 137m基线测试结果表明,1h数据单历元解在北、东、高方向,平均定位精度分别提高了41.3%、54.5%、51.6%,稳定性分别提高了38.4%、17.7%、39.7%。
[Abstract]:In order to analyze the random characteristics of Beidou satellite observations, the variance components of carrier phase observations of geostationary orbit, inclined geostationary satellite orbit and medium-Earth orbit satellite are estimated.It is found that there are significant differences in the size and time-varying characteristics of the variance components between different receivers and different types of satellites.In order to construct a more practical random model of variance structure, an iterative least square method combined with least norm quadratic unbiased estimation is proposed to estimate the variance components of observed values of different types of Beidou satellites in real time.In order to evaluate the performance of the real time estimation random model, a precision relative positioning test was carried out on three baselines with different lengths of 243mLi 645mg 10137m. The results show that the real-time estimation stochastic model can effectively improve the dynamic relative positioning performance of Beidou satellite precise single epoch.In particular, when the distance between stations is longer, the results of the baseline test show that the average positioning accuracy in the north, east and high directions of the single epoch is increased 41.3 and 54.55.51.6, respectively, and the stability is increased by 38.4% or 17.7% and 39.7% respectively.
【作者单位】：西南交通大学高速铁路运营安全空间信息技术国家地方联合工程实验室;成都理工大学地球科学学院;中铁二院工程集团有限责任公司;
【基金】：国家自然科学基金(41374032) 2013年西南交通大学博士研究生创新基金中央高校基本科研业务费~~
【分类号】：P228

【相似文献】