基于信噪比的GNSS随机模型分析  

Comparing GNSS Stochastic Models Based on SNR

作　　者：柴大帅 王胜利[2] 卢秀山[2] 

机构地区：[1]山东科技大学测绘学院,青岛266590 [2]山东科技大学海洋工程研究院,青岛266590

出　　处：《全球定位系统》2016年第5期42-46,65,共6页Gnss World of China

基　　金：大地测量与地球动力学国家重点实验室开放基金(编号:SKLGED2015-3-1-E);海洋公益性行业科研专项经费(编号:201305034)

摘　　要：使用差分进行定位时,观测值仍然含有残余的大气延迟以及受到噪声影响。由于信噪比能够很好的反映噪声部分的影响,卫星的高度角与信号传播路径上的大气延迟有很高的相关性,所以利用基于卫星高度角和信噪比的随机模型可以一定程度的削弱这些误差的影响。本文以实测数据对等权随机模型、高度角随机模型和信噪比随机模型的处理效果进行分析,实验结果证明,信噪比随机模型的处理效果最好,高度角随机模型次之,等权随机模型的处理效果最差。同时本文分析了信噪比对伪距观测值质量的影响,并在此基础上对这三种随机模型进行分析,实验结果显示:在数据预处理时选取合理的信噪比可以使这三种模型的定位精度有所提高。When DGNSS was used,observations still were affected by noise and residual atmospheric delay.Because the SNR can well reflect the impact of the noise,and the elevation angle of satellite has a correlation with atmospheric delay of signal propagation path,so stochastic model of satellite elevation angle and SNR can be used to weaken these influences.In this paper,these models of identity,elevation angle and SNR was analyzed in this paper,and experimental results show that the effect of SNR model was the best,elevation angle model was followed,and identity model was the worst.Simultaneously,the affect of SNR to Quality of pseudo-range was analyzed in this paper,and on this basis these models were analyzed.The results show that selecting appropriate SNR value in preprocessing can increase the accuracy of these models.

关 键 词：信噪比 GNSS 等权随机模型 高度角随机模型 信噪比随机模型 

分 类 号：P228.4[天文地球—大地测量学与测量工程]