Model Validation of an Open-source Framework for Post-processing INS/GNSS Systems

被引:9
|
作者
Gonzalez, Rodrigo [1 ]
Catania, Carlos A. [2 ]
Dabove, Paolo [3 ]
Carlos Taffernaberry, Juan [1 ]
Piras, Marco [3 ]
机构
[1] Natl Univ Technol, GridTICs, Mendoza, Argentina
[2] Natl Univ Cuyo, FCEyN, ITIC, Mendoza, Argentina
[3] Politecn Torino, Dept Environm Land & Infrastruct Engn DIATI, Turin, Italy
来源
GISTAM: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON GEOGRAPHICAL INFORMATION SYSTEMS THEORY, APPLICATIONS AND MANAGEMENT | 2017年
关键词
GIS; Post-processing; INS; GNSS; Allan Variance; Model Validation; MATLAB; Navigation Systems;
D O I
10.5220/0006313902010208
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The development of new approaches in the GIS research community may require the use of a computational tool to post-process GNSS and inertial sensors data in order to get more accurate position, velocity, and orientation angles (attitude) information. An open-source framework for simulating integrated navigation systems (INS/GNSS) called NaveGo has been developed using MATLAB/GNU Octave and is freely available on-line. Although preliminary tests have shown that NaveGo appears to work properly, a deep examination must be carried out to confirm that this framework is an adequate tool for post-processing INS/GNSS information. The main goal of this work is to produce a validation methodology to show that NaveGo mathematical model works within its specifications. Firstly, static measurements from inertial sensors are processed and analysed by NaveGo applying the Allan variance for profiling typical errors. Some details of Allan variance procedure are exhibited. Then, performances of NaveGo and Inertial Explorer, a closed-source commercial package software for INS/GNSS integration, are compared for a real-world trajectory. It is statistically concluded that NaveGo presents close accuracy to Inertial Explorer for attitude and position. Consequently, it is demonstrated that NaveGo is an useful INS/GNSS post-processing framework that can be used in GIS applications.
引用
收藏
页码:201 / 208
页数:8
相关论文
共 50 条
  • [1] MC's PlotXY-A general-purpose plotting and post-processing open-source tool
    Ceraolo, Massimo
    SOFTWAREX, 2019, 9 : 282 - 287
  • [2] GDP: an open-source GNSS data preprocessing toolkit
    Zhengsheng Chen
    Yang Cui
    Linyang Li
    Qinghua Zhang
    Zhiping Lu
    Xuerui Li
    Yingcai Kuang
    Kaichun Yang
    Fengjuan Rong
    GPS Solutions, 2020, 24
  • [3] GDP: an open-source GNSS data preprocessing toolkit
    Chen, Zhengsheng
    Cui, Yang
    Li, Linyang
    Zhang, Qinghua
    Lu, Zhiping
    Li, Xuerui
    Kuang, Yingcai
    Yang, Kaichun
    Rong, Fengjuan
    GPS SOLUTIONS, 2020, 24 (03)
  • [4] GNSS network products for post-processing positioning: limitations and peculiarities
    Dabove, Paolo
    Manzino, Ambrogio M.
    Taglioretti, Cinzia
    APPLIED GEOMATICS, 2014, 6 (01) : 27 - 36
  • [5] A generic post-processing framework for image dehazing
    Kumar, Balla Pavan
    Kumar, Arvind
    Pandey, Rajoo
    SIGNAL IMAGE AND VIDEO PROCESSING, 2023, 17 (06) : 3183 - 3191
  • [6] An open-source software for geodetic deformation analysis in GNSS networks
    Bilgen, Burhaneddin
    Inal, Cevat
    EARTH SCIENCE INFORMATICS, 2022, 15 (03) : 2051 - 2062
  • [7] A generic post-processing framework for image dehazing
    Balla Pavan Kumar
    Arvind Kumar
    Rajoo Pandey
    Signal, Image and Video Processing, 2023, 17 : 3183 - 3191
  • [8] An open-source software for geodetic deformation analysis in GNSS networks
    Burhaneddin Bilgen
    Cevat Inal
    Earth Science Informatics, 2022, 15 : 2051 - 2062
  • [9] Validation of iron loss calculation by post-processing method
    Narita, Katsuyuki
    Sano, Hiroyuki
    Asanuma, Tatsuya
    Yamada, Takashi
    2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016), 2016,
  • [10] GNSS-TS-NRS: An Open-Source MATLAB-Based GNSS Time Series Noise Reduction Software
    He, Xiaoxing
    Yu, Kegen
    Montillet, Jean-Philippe
    Xiong, Changliang
    Lu, Tieding
    Zhou, Shijian
    Ma, Xiaping
    Cui, Hongchao
    Ming, Feng
    REMOTE SENSING, 2020, 12 (21) : 1 - 24