The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Network-RTK GNSS for Land Vehicle Navigation Application

Network-RTK GPS 기반 자동차 정밀 위치 추정

  • Woon, Bong-Young (Hanyang University Department of Electronics and Computer Engineering) ;
  • Lee, Dong-Jin (Department of Electronics and Computer Engineering, Hanyang University) ;
  • Lee, Sang-sun (Department of Electronics and Computer Engineering, Hanyang University)
  • Received : 2016.11.20
  • Accepted : 2017.02.20
  • Published : 2017.02.28
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Abstract

These days land vehicle navigation system is a subject of great interest. The GNSS(Global Navigation Satellite System) is the most popular technology for out door positioning. However, The GNSS is incapable of providing high accuracy and reliable positioning. For that reason, we applied Network-RTK in vehicle to improve the accuracy of GNSS performance. In this network-RTK mode, the GNSS error are significantly decreased. In this paper, we explain ntrip client program for network-RTK mode and show the result of experiments in various environments.

요즘 차량 네비게이션 시스템은 큰 관심 분야이다. GNSS(Global Navigation Satellite System)은 실외 측위를 위한 기술 중 핵심적인 기술이다. 그러나 GNSS는 높은 정확도와 신뢰도를 제공하지 못한다. 이러한 이유로, 우리는 차량의 GNSS 성능의 정확도를 향상시키기 위하여 Network-RTK를 적용하였다. 이 Network-RTK 모드에서 GNSS 에러는 급격히 감소하게 된다. 본 논문에서 우리는 ntrip client 프로그램을 설명하고 다양한 환경에서의 실험 결과를 보여준다.

Keywords

References

  1. K. W. Park, D. Lee, and C. Park, "A precise relative positioning method based on time-differenced carrier phase measurements from low-cost GNSS receiver," J. KICS, vol. 40, no. 09, pp. 1846-1855, Sept. 2015. https://doi.org/10.7840/kics.2015.40.9.1846
  2. J. J. Choi, H. Y. Choi, S. B. Do, and H. S. Kim, "Absolute altitude determination for 3-D indoor and outdoor positioning using reference station," J. KICS, vol. 40, no. 01, pp. 165-170, Jan. 2015. https://doi.org/10.7840/kics.2015.40.1.165
  3. J. W. Kim, M. S. Lee, and S. S. Lee, "Vehicular pirch estimation algorithm with ACF/IMMKF based on GPS/IMUOBD data fusion," J. KICS, vol. 40, no. 09, pp. 1837- 1845, Sept. 2015. https://doi.org/10.7840/kics.2015.40.9.1837
  4. D. M. Bevly, "Global positioning system (GPS): A low-cost velocity sensor for correcting inertial sensor errors on ground vehicles," J. Dyn. Syst., Meas. Control, Trans. (ASME), vol. 126, no. 2, pp. 255-264, Aug. 2004. https://doi.org/10.1115/1.1766027
  5. M. Irsigler and B. Eissfeller, "Comparison of multipath mitigation techniques with consideration of futer signal structures," in Prec. GNSS2003, pp. 689-697, Portland, USA, 2008.
  6. J. Marias, M. Berbineau, and M. Heddebaut, "Land mobile GNSS availability and multipath evaluation tool," IEEE Trans. Veh. Technol., vol. 54, no. 5, pp. 1697-1704, Sept. 2005. https://doi.org/10.1109/TVT.2005.853461
  7. G. Dissanayake, S. Sukkarieh, E. Nebot, and H. Durrant-Whyte, "The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applicaitions," IEEE Trans. Robot Autom., vol. 17, no. 5, pp. 731-747, Oct. 2001. https://doi.org/10.1109/70.964672
  8. S. Rezaei and R. Sengupta, "Kalman filter-based integration of DGPS and vehicle sensors for localization," IEEE Trans. Control Syst. Technol., vol. 15, no. 5, Oct. 2006.
  9. S. Godha and M. E. Cannon, "GPS/MEMS INS integrated system for navigation in urban areas," GPS Solutions, vol. 11, pp. 193-203, 2007. https://doi.org/10.1007/s10291-006-0050-8
  10. H. Qi and J. B. Moore, "Direct kalman filtering approach for GPS/INS integratierosp," Electron. Sys., vol. 38, no. 2, pp. 687-693, Apr. 2002.
  11. S. Moon, S. Lee, J. Kim, and B. Kim, "Detecting lane departure based on GIS using DGPS," KSAE, vol. 20, no. 4, pp. 16-24, 2014.
  12. A. Noureldin, T. B. Karamat, and J. Georgy, Fundamentals of Inertial Navigation, Satellitebased Positioning and their Integration, Springer, 2013.

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