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GPS stochastic modelling : signal quality measures and ARMA processes / Xiaoguang Luo.

By: Material type: TextTextSeries: Springer thesesPublication details: Berlin : Springer-Verlag, 2013.Description: xxiii, 331 p. : illustrations ; 25 cmISBN:
  • 9783642348358
Subject(s): DDC classification:
  • 621.384191 23 L964
Contents:
1. Introduction.- 2. Mathematical Background.- 3. Mathematical Models for GPS Positioning.- 4. Data and GPS Processing Strategies.- 5. Observation Weighting Using Signal Quality Measures.- 6. Results of SNR-based Observation Weighting.- 7. Residual-based Temporal Correlation Modelling.- 8. Results of Residual-based Temporal Correlation Modelling.- 9. Conclusions and Recommendations.- Appendix A: Quantiles of Test Statistics.- Appendix B: Derivations of Equations.- Appendix C: Additional Graphs.- Appendix D: Additional Tables.
Summary: This book is a key step towards a realistic GNSS stochastic model and provides good examples of statistical verification and physical interpretation of results. It gives an overview of the GNSS error effects and details the mathematical models.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 621.384191 L964 (Browse shelf(Opens below)) Available 137245
Total holds: 0

"Doctoral thesis accepted by the Karlsruhe Institute of Technology, Karlsruhe, Germany."

Includes bibliographical references and index.

1. Introduction.-
2. Mathematical Background.-
3. Mathematical Models for GPS Positioning.-
4. Data and GPS Processing Strategies.-
5. Observation Weighting Using Signal Quality Measures.-
6. Results of SNR-based Observation Weighting.-
7. Residual-based Temporal Correlation Modelling.-
8. Results of Residual-based Temporal Correlation Modelling.- 9. Conclusions and Recommendations.-
Appendix A: Quantiles of Test Statistics.-
Appendix B: Derivations of Equations.-
Appendix C: Additional Graphs.-
Appendix D: Additional Tables.

This book is a key step towards a realistic GNSS stochastic model and provides good examples of statistical verification and physical interpretation of results. It gives an overview of the GNSS error effects and details the mathematical models.

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