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Multimodal Data fusion for SRGPS antenna motion error reduction

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Abstract

Antenna motion is a primary fault that degrades the integrity of shipboard relative GPS (SRGPS) systems, so we must investigate how to monitor and mitigate its impacts. Previous work proposed a single-baseline mode, but it had obvious problems, such as large motion errors, error measurement difficulties, and poor reliability. To solve these issues, we propose a multiple reference station architecture that deploys more than one reference station at different positions on ship. The observations are first translated to the ship reference point, and then integrated into a comprehensive measurement that accounts for the overall antenna motion errors. We consider two integrating methods: direct and weighted average methods. The direct average method is simple and intuitive, but the weighted average method more effectively reduced the overall antenna motion error by using the reciprocal standard deviation of historical measurements as weighting factors. All the antennas are mounted on the same ship body, so their correlations should also be considered when determining weighting factors. We used the ranking scores of the antennas derived using a graph-learning algorithm and fused them with the standard deviations to create new weighting factors. Finally, our experimental results demonstrated that the weighting factors based on the standard deviations and ranking scores reduced the overall antenna-motion error variance and improved the system integrity.

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References

  1. Blanch J, Walter T, Enge P (2011) Optimization of a Vertical Protection Level Equation for Dual Frequency SBAS. In: Proceedings of the 2011 International Technical Meeting of the Institute of Navigation, San Diego, CA, pp. 459–463

  2. Deng H, Lyu MR, King I (2009) Effective latent space graph-based re-ranking model with global consistency. In: Proceedings of the international conference on Web search and Web data mining. Barcelona, Spain, pp 212–221

    Chapter  Google Scholar 

  3. Dogra S, Hansen JWJ (2005) Sea-Based JPALS Relative Navigation Algorithm Development. In: Proceedings of the 18th International Technical Meeting of the Satellite Division of the Institute of Navigation, Long Beach, CA, pp. 2871–2881

  4. Dutton KE (2008) Carrier phase integer ambiguity resolution with multiple reference receivers. Patent, US, US 7411545:B2

    Google Scholar 

  5. Feng S, Ochieng W, Moore T, Hill C, Hide C (2009) Carrier phase-based integrity monitoring for high-accuracy positioning. GPS Solutions 13(1):13–22. doi:10.1007/s10291-008-0093-0

    Article  Google Scholar 

  6. Gao Y, Wang M, Tao D, Ji R, Dai Q (2012) 3D Object retrieval and recognition with hypergraph analysis. IEEE Trans Image Process 21(9):4290–4303

    Article  MathSciNet  Google Scholar 

  7. Gao Y, Wang M, Zha Z, Shen J, Li X, Wu X (2013) Visual-textual joint relevance learning for Tag-based social image search. IEEE Trans Image Process 22(1):363–376

    Article  MathSciNet  Google Scholar 

  8. Gao Y, Zhao S, Yang Y, Chua TS (2015) Multimedia Social Event Detection in Microblog, Multimedia Modeling, Springer International Publishing. 8935:269–281

  9. Gebre-Egziabher D, Shao Y (2010) Model for JPALS/SRGPS flexure and attitude error allocation. IEEE Trans Aerosp Electron Syst 46(2):483–494

    Article  Google Scholar 

  10. He J, Li M, Zhang HJ, Tong H, Zhang C (2004) Manifold-ranking based image retrieval. ACM Multimed Sys J 15(10):9–16. doi:10.1145/1027527.1027531

    Google Scholar 

  11. Heo M, Pervan B (2006) Carrier phase navigation architecture for shipboard relative GPS. IEEE Trans Aerosp Electron Syst 42(2):670–679. doi:10.1109/TAES.2006.1642581

    Article  Google Scholar 

  12. Khanafseh S, Pervan B (2008) A new approach for calculating position domain integrity risk for cycle resolution in carrier phase navigation systems. Pos Loc Navigat Symp IEEE/ION 46(1):583–591

    Google Scholar 

  13. Koenig M (2010) Optimizing the Decision Rule of a GPS Integrity Monitoring System for Improved Availability. Dissertation, Stanford University

  14. Li F, Liu R (2011) Graph-based multiple-instance learning with instance weighting for image retrieval. In: Proceedings of the IEEE International Conference on Image Processing, pp. 2453-2456

  15. Offer CR, Groves PD, Macaulay AA, Nash DLJ, Mather CJ (2006) Use of Inertial Integration to Enhance Availability for Shipboard Relative GPS (SRGPS). In: Proceedings of the 19th International Technical Meeting of the Satellite Division of the Institute of Navigation, Fort Worth, TX, pp. 726–737

  16. Peterson BR, Johnson G, Stevens J (2004) Feasible Architectures for Joint Precision Approach and Landing System (JPALS) for Land and Sea. In: Proceedings of the 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, Long Beach, CA, pp. 544–554

  17. Peterson BR, Pullen S, Pervan B, McGraw G, Skidmore T, Anderson S (2005) Investigation of Common Architectures for Land- and Sea-Based JPALS. In: Proceedings of 18th International Technical Meeting of the Satellite Division of the Institute of Navigation, Long Beach, CA, pp. 26–37

  18. Petovello MG, Keefe KO, Lachapelle G, Cannon ME (2009) Measuring aircraft carrier flexure in support of autonomous aircraft landings. IEEE Trans Aerosp Electron Syst 45(2):523–535. doi:10.1109/TAES.2009.5089539

    Article  Google Scholar 

  19. Petovello MG, Lachapelle G, Cannon ME (2005) Using GPS and GPS/INS Systems to Assess Relative Antenna Motion Onboard an Aircraft Carrier for Shipboard Relative GPS. In: Proceedings of the 2005 National Technical Meeting of the Institute of Navigation, San Diego, CA, pp. 219–229

  20. Psiaki ML, Mohiuddin S (2007) Modeling, analysis, and simulation of GPS carrier phase for spacecraft relative navigation. J Guid Control Dyn 30(6):1628–1639. doi:10.2514/1.29534

    Article  Google Scholar 

  21. Rife J, Khanafseh S, Pullen S, De Lorenzo D, Kim U, Koenig M, Chiou T, Kempny B, Pervan B (2009) Navigation, interference suppression, and fault monitoring in the Sea-based joint precision approach and landing system. Proc IEEE 96(12):1958–1975. doi:10.1109/JPROC.2008.2006107

    Article  Google Scholar 

  22. Rife J, Pullen S, Enge P (2007) Evaluating Fault-Mode Protection Levels at the Aircraft in Category III LAAS. In: Proceedings of the 63rd Annual Meeting of the Institute of Navigation, Cambridge, MA, pp. 356–371

  23. Walter T, Blanch J, Enge P (2010) Vertical Protection Level Equations for Dual Frequency SBAS. In: Proceedings of the 23rd International Technical Meeting of the Satellite Division of the Institute of Navigation, Portland, OR, pp. 2031–2041

  24. Wang M, Hua XS, Hong R, Tang J, Qi GJ, Song Y (2009) Unified Video annotation via multigraph learning. IEEE Trans Circuits Syst Video Technol 19(5):733–746

    Article  Google Scholar 

  25. Yang Y, Xie Y, Zhang W, Hu W, Tan Y (2015) Global coupled learning and local consistencies ensuring for sparse-based tracking. Neurocomputing 160:191–205. doi:10.1016/j.neucom.2014.12.060

    Article  Google Scholar 

  26. Zhao S, Yao H, Yang Y, Zhang Y (2014) Affective Image Retrieval via Multi-Graph Learning. In: Proceedings of the 22nd ACM international conference on Multimedia, pp.1025-1028

  27. Zhao S, Yao H, Zhang Y, Wang Y, Liu S (2015) View-based 3D object retrieval via multi-modal graph learning. Signal Process 112(C):110–118

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beihang University, 37 XueYuan Road, 100191, Beijing, China

    Tao Feng & Xia Mao

  2. China Transport Telecommunication & Information Centre, 1 Anwai Waiguan Houshen, 100011, Beijing, China

    Tao Feng

Authors
  1. Tao Feng
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  2. Xia Mao
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Correspondence to Xia Mao.

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Feng, T., Mao, X. Multimodal Data fusion for SRGPS antenna motion error reduction. Multimed Tools Appl 76, 12035–12050 (2017). https://doi.org/10.1007/s11042-016-3972-3

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  • DOI: https://doi.org/10.1007/s11042-016-3972-3

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