利用MANS-PPP软件包实现SRIF滤波器,提高GNSS精确点位解的精度

IF 1.2 Q4 REMOTE SENSING
Ashraf G. Shehata, F. Zarzoura, Mahmoud El-Mewafi
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引用次数: 2

摘要

摘要GNSS数据后处理中的主要大地测量测绘任务之一是精确点定位(PPP)。研究机构和大学在前几年已经建立了软件包和在线PPP服务。然而,由于GNSS星座的快速增长,满足PPP的高速率更新标准是有问题的。在PPP GNSS数据处理中,平方根信息滤波器SRIF并不经常被处理。在本研究中,我们使用MANS-PPP软件包来执行处理方法,并生成PPP GNSS解决方案。新程序已被证明可以有效地提高多GNSS卫星的初始时间和定位误差。在静态模式下,使用PPP对16个台站的观测数据进行了卡尔曼滤波器和SRIF处理,并从滤波方法分析了误差的影响。卡尔曼滤波器在PPP滤波过程中无法保持稳定的收敛曲线,但SRIF成功地做到了这一点。基于这些发现,SRIF具有更好的数值稳定性,非常适合PPP要求的精确计算环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing SRIF filter with MANS-PPP software package for GNSS precise point position solution accuracy enhancement
Abstract One of the primary geodetic mapping tasks in the post-processing of GNSS data is precise point positioning (PPP). Research institutions and universities have established software packages and online PPP services in prior years. Still, it is problematic to satisfy the high-rate update criterion of PPP due to the quick growth of GNSS constellations. In PPP GNSS data processing, Square Root Information Filter SRIF is not frequently handled. In this research, we used the MANS-PPP software package to execute the processing method and generate the PPP GNSS solution. The new program has been demonstrated how can effectively enhance initial time and positioning error for multi-GNSS satellites. Processing observation data with the Kalman filter and SRIF was performed using PPP in static mode for the 16 stations, and the influence of errors has been analyzed from the filtering method. The Kalman filter was unable to maintain a stable convergence curve during the PPP filtering procedure, but SRIF was successful in doing so. Based on these findings, SRIF had better numerical stability and was well-suited for settings with PPP demanding precision computing environments.
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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