非组合PPP-AR方法研究
Investigation of PPP-AR algorithm based on uncombined model
上官灏院 1叶世榕 2夏朋飞 2孟良3
作者信息
- 1. 武汉大学 卫星导航定位技术研究中心,武汉 430079;武汉大学 测绘学院,武汉 430079
- 2. 武汉大学 卫星导航定位技术研究中心,武汉 430079
- 3. 北京特种工程设计研究院,北京 100028
- 折叠
摘要
针对宽巷-窄巷固定(WL-NL AR)方法中窄巷模糊度波长短的问题,提出一种基于非组合原始观测值的模糊度固定方法(N1-N2 AR):利用基于原始观测值的绝对信号偏差(OSB)产品消除卫星硬件延迟,并通过非组合模型进行精密单点定位;然后将非差模糊度转化为单差形式以固定模糊度;最后对比N1-N2 AR方法与WL-NL AR方法在测站静态和仿动态条件下的性能.实验结果表明,2 种方法在静态实验中性能相当,固定率均超过 96%;仿动态实验中,仅使用全球定位系统(GPS)数据时,N1-N2 AR方法在固定准确率上相比WL-NL AR方法提高约 15%,在G/C/R/E组合条件下,其有效固定率和固定准确率分别提高约 7%和 2%;鉴于多频多系统发展的趋势,在拥有高精度伪距观测条件下,基于非组合原始观测值的固定方法有更广阔的应用潜力.
Abstract
Aiming at the problem of short wavelengths of narrow lane ambiguities in the wide lane(WL)-narrow lane(NL)ambiguity resolution(AR)method,the paper proposed a fixing method based on raw observation approach(N1-N2 AR):the observable-specific signal bias(OSB)products were utilized to eliminate satellite hardware delays,and precise point positioning was conducted through an uncombined model;then undifferenced ambiguities were converted into single-difference form for ambiguity resolution;finally,the performance of the N1-N2 AR method was compared with the WL-NL AR method under both static and simulated dynamic conditions.Experimental results showed that both methods would exhibit comparable performance in static tests,with fixation rates exceeding 96%;while in simulated dynamic tests,using only global positioning system(GPS)data,the fixation accuracy of the N1-N2 AR method would be approximately 15%higher than that of the WL-NL AR algorithm,and under the combined conditions of G/C/R/E,the effective fixation rate and fixation accuracy would be approximately 7%and 2%higher,respectively;in general,considering the trend towards multi-frequency and multi-system developments,the fixation method based on raw observation approach could have a broader application potential under conditions of high-precision pseudorange observations.
关键词
非组合模型/精密单点定位(PPP)/原始观测值/模糊度固定/全球定位系统(GPS)/多系统组合Key words
uncombined model/precise point positioning(PPP)/raw observation/ambiguity resolution/global positioning system(GPS)/multi-system combination引用本文复制引用
出版年
2024
NETL
NSTL
万方数据