全球定位系统2016，Vol.41Issue(5)：42-46,65,6.DOI:10.13442/j.gnss.1008-9268.2016.05.008
基于信噪比的GNSS随机模型分析
Comparing GNSS Stochastic Models Based on SNR
摘要
Abstract
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 eleva-tion 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 ana-lyzed.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Key words
Signal to Noise Ratio/GNSS/identity stochastic models/elevation angle stochastic models/SNR stochastic models分类
天文与地球科学引用本文复制引用
柴大帅,王胜利,卢秀山..基于信噪比的GNSS随机模型分析[J].全球定位系统,2016,41(5):42-46,65,6.基金项目
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) （编号:SKLGED2015-3-1-E）
海洋公益性行业科研专项经费(编号:201305034) （编号:201305034）
