Browse > Article
http://dx.doi.org/10.7848/ksgpc.2014.32.1.63

Development of Gravity Gradient Referenced Navigation and its Horizontal Accuracy Analysis  

Lee, Jisun (Dept. of Geoinformatics, University of Seoul)
Kwon, Jay Hyoun (Dept. of Geoinformatics, University of Seoul)
Yu, Myeongjong (Agency of Defense Development)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.32, no.1, 2014 , pp. 63-73 More about this Journal
Abstract
Recently, researches on DBRN(DataBase Referenced Navigation) system are being carried out to replace GNSS(Global Navigation Satellite System), as weaknesses of GNSS were found that are caused by the intentional interference and the jamming of the satellite signal. This paper describes the gravity gradient modeling and the construction of EKF(Extended Kalman Filter) based GGRN(Gravity Gradient Referenced Navigation). To analyze the performance of GGRN, fourteen flight trajectories were made for simulations over whole South Korea. During the simulations, we considered the errors in both DB(DataBase) and sensor as well as the flight altitudes. Accurate performances were found, when errors in the DB and the sensor are small and they located at lower altitude. For comparative evaluation, the traditional TRN(Terrain Referenced Navigation) was also developed and performances were analyzed relative to those from the GGRN. In fact, most of GGRN performed better in low altitude, but both of precise gravity gradient DB and gradiometer were required to obtain similar level of precisions at the high altitude. In the future, additional tests and evaluations on the GGRN need to be performed to investigate on more factors such as DB resolution, flight speed, and the update rate.
Keywords
Geophysical DB; Gravity gradient; GGRN; EKF;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Mok, S., Bang, H., and Yu, M. (2012), Performance comparison of nonlinear Kalman filtering based terrain referenced navigation, Journal of Korean Society for Aeronautical & Space Sciences, Vol. 40, No. 2, pp. 108-117. (in Korean with English abstract)   과학기술학회마을   DOI
2 Brown, R.G. and Hwang, P.Y.C. (1997), Introduction to Random Signals and Applied Kalman Filtering 3rd Edition, John Willey & Sons Inc., New York, NY, USA, 480p.
3 Heiskanen, W.A. and Moritz, H. (1967), Physical Geodesy, W. H. Freeman and Co, San Francisco, CA, USA, 403P.
4 Hollowell, J. (1990), HELI/SITAN: A terrain referenced navigation algorithm for helicopter, Proceedings of IEEE Position Location and Navigation Symposium, IEEE, 20-23 March, Las Vegas, NV, USA, pp. 616-625.
5 Jekeli, C., Yang, H.J., and Kwon, J.H. (2009), Using gravity and topography-implied anomalies to assess data requirements for precise geoid computation, Journal of Geodesy, Vol. 83, No. 6, pp. 1193-1202,   DOI   ScienceOn
6 Koch, R.F. and Evans, D.C. (1980), ATRAN terrain sensing guidance the grand-daddy system, Proceedings of the Society of Photo-Optical Instrumentation Engineers, Image Processing for Missile Guidance, 23, December, San Diego, CA, USA, pp. 2-9.
7 Laur, T.M. and Llanso, S.L. (1995), Encyclopedia of Modern U.S. Military Weapons, The Army Times Publishing Company with Berkley Publishing Group, New York, NY, USA, 496p.
8 Lizhi, Z. (2007), Gradient Modeling with Gravity and DEM, Report No. 483, The Ohio State University, Columbia, OH, USA, pp. 44-52.
9 NGII (2013), Construction of Precision Geoid Model in Korea, No. 11-1613436-000018-01, NGII, Suwon, Korea, pp. 10-12. (in Korean)
10 Rice, H., Mendelsohn, L., Aarons, R., and Mazzola, D. (2000), Next generation marine precision navigation system, Proceedings of IEEE Position Location and Navigation Symposium, IEEE, 13-16 March, San Diego, CA, USA, pp. 200-206.
11 Richeson, J.A. (2008), Gravity Gradiometer Aided Inertial Navigation Within Non-GNSS Environments, Ph. D. dissertation, University of Maryland, College Park, MD, USA, 405p.
12 Titterton, D. and Weston, J.L. (2004), Strapdown Inertial Navigation Technology 2nd Edition, The Institution of Electrical Engineers, London, UK, 558p.
13 Honeywell (2005), Precision Terrain Aided Navigation (PTAN), Honeywell International Inc., New Jersey, NJ, USA, http://www.honeywell.com/sites/servlet/com.merx.npoint.servlets.DocumentServlet?docid=D01BFCE4D-78D2-A2C0-D1D9-115FAEC2DCE7, (last date accessed: 24 January 2013)
14 Vajda, S. and Zorn, A. (1998), Survey of existing and emerging technologies for strategic submarine navigation, Proceedings of IEEE Position Location and Navigation Symposium, IEEE, 20-23 April, Palm Springs, CA, USA, pp. 309-315