skip to main content
10.1145/3573942.3573960acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiprConference Proceedingsconference-collections
research-article

Neural Network Prediction Model Based on Differential Localization

Published: 16 May 2023 Publication History

Abstract

The Global Navigation Satellite System-Reflectometry (GNSS-R) is affected by buildings, trees, etc. during the transmission process, which generates large errors. The traditional method is to use differential to eliminate most of the errors to improve positioning accuracy. In this paper, a neural network prediction model based on differential results is proposed, which uses the differential results X, Y and Z as the inputs of the neural network to predict the satellite position, and finally compare it with the real value. The paper uses Artificial Neural Network (ANN), Recurrent Neural Network (RNN) and Long Short Term Memory-Recurrent Neural Network (LSTM-RNN) are used to establish training models and make predictions. The results show that compared with the ANN model, the Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) of the RNN model are reduced by 1.54% and 3.59%, respectively; compared with the RNN model, the MAPE and RMSE of the LSTM-RNN model are reduced by 21.16% and 14.81%, respectively, which proves that the training accuracy and fit of the LSTM-RNN are better.

References

[1]
C. J. Hegarty and E. Chatre, "Evolution of the Global Navigation Satellite System (GNSS)," in Proceedings of the IEEE, vol. 96, no. 12, pp. 1902-1917, Dec. 2008.
[2]
Y. Li and S. Yan, "Moving Ship Detection of Inland River Based on GNSS Reflected Signals," 2021 IEEE Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity (GNSS+R), 2021, pp. 105-108.
[3]
M. B. Aykenar, I. C. Boz, G. Soysal and M. Efe, "A Multiple Model Approach for Estimating Roll Rate of a Very Fast Spinning Artillery Rocket," 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020, pp. 1-7.
[4]
Y. Matsuura, Z. Heming, S. Kawai and H. Nobuhara,"High-Precision/Throughput Growth Measurement of Crops by Drone with Stereo Matching Based on RTK-GNSS and Single Camera," 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE), 2020, pp. 936-939.
[5]
S. S. A. Maulai and A. M. Khan, "Empirical analysis of environmental effects on real time kinematics differential GNSS receiver," 2017 Fifth International Conference on Aerospace Science & Engineering (ICASE), 2017, pp. 1-5.
[6]
I. K. Nti, J. A. Quarcoo, J. Aning and G. K. Fosu, "A mini-review of machine learning in big data analytics: Applications, challenges, and prospects," in Big Data Mining and Analytics, vol. 5, no. 2, pp. 81-97, June 2022.
[7]
Jiangning Xu, T. Arslan, Dejun Wan and Qing Wang, "GPS attitude determination using a genetic algorithm," Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2002, pp. 998-1002 vol.1
[8]
Z. Zhang, F. Wu, Y. Liu, Y. Zuo and Y. Ji, "A Neural Network Aided Integrated Navigation Algorithm Based on Vehicle Motion Mode Information," 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2019, pp. 1-5.
[9]
A. Zhang, Y. Liao, S. Ni, Z. Li, X. Yang and D. Yan, "Simulation of Satellite Attitude Control Based on BP Neural Network," 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), 2021, pp. 681-686.
[10]
P. Pisolkar, S. Parmar, C. Poojari and D. Kalbande, "Satellite positioning simulation system," 2012 International Conference on Communication, Information & Computing Technology (ICCICT), 2012, pp. 1-4.
[11]
Jyh-Ching Juang and Guo-Shing Huang, "Development of GPS-based attitude determination algorithms," in IEEE Transactions on Aerospace and Electronic Systems, vol. 33, no. 3, pp. 968-976, July 1997.
[12]
Hochreiter, Sepp; Schmidhuber, Jürgen (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780.
[13]
M. Shao and X. Sui, "Study on Differential GPS Positioning Methods," 2015 International Conference on Computer Science and Mechanical Automation (CSMA), 2015, pp. 223-225.
[14]
S. C. Bhardwaj, S. Shekhar, A. Vidyarthi and R. Prakash, "Satellite Navigation and Sources of Errors in Positioning: A Review," 2020 International Conference on Advances in Computing, Communication & Materials (ICACCM), 2020, pp. 43-50.
[15]
Mikolov T, Zweig G. Context Dependent Recurrent Neural Network Language Model[C]. Spoken Language Technology Workshop. IEEE, 2013: 234-239.

Index Terms

  1. Neural Network Prediction Model Based on Differential Localization

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    AIPR '22: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
    September 2022
    1221 pages
    ISBN:9781450396899
    DOI:10.1145/3573942
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 May 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. ANN
    2. Differential positioning technology
    3. GNSS-R
    4. LSTM-RNN

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    Conference

    AIPR 2022

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 23
      Total Downloads
    • Downloads (Last 12 months)6
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 23 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media