The precise INS/GPS geolocation of a vehicle-towed UXO detection system

Record - IEEE PLANS, Position Location and Navigation Symposium

Volumn , Issue , 2010, Pages 1189-1196

  Lee, Jong Ki ^a   Cacamise II, Dana J ^a   Jekeli, Christopher ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Component; EKS; INS GPS; UKF; UKS, adaptive filter; UXO; Wavelet, EKF

Indexed keywords

COMPONENT; CONTROL POINT; DUAL FREQUENCY; GEOLOCATION SYSTEMS; GEOLOCATIONS; GPS RECEIVERS; HIGH-PRECISE; INERTIAL MEASUREMENT UNIT; OPTIMAL DATA; POST PROCESSING; PRECISE POSITION; TOWED SYSTEM; UXO DETECTION; WAVELET DENOISING;

ADAPTIVE FILTERING; ADAPTIVE FILTERS; DATA PROCESSING; ELECTRIC FILTERS; NAVIGATION; UNITS OF MEASUREMENT; WAVELET TRANSFORMS;

GLOBAL POSITIONING SYSTEM;

EID: 77955034561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PLANS.2010.5507277     Document Type: Conference Paper

References (32)

1. U.S. Army Corps of Engineers (2006), Innovative navigation systems to support digital geophysical mapping ESTCP #200129, Phase III APG demonstrations and Phase IV development. Final Report, 17 February 2006, U.S. Army Corps of Engineers, Engineering and Support Center, Huntsville, AL.
2. Lee, J.K., Jekeli, C. (2009), Improved Filter Strategies for Precise Unexploded Ordnance Geolocation using IMU/GPS integration, Journal of Navigation, JULY 2009, VOL. 62, NO. 3, 365-382.
3. Nassar, S. (2003), Improving the Inertial Navigation System (INS) Error Model for INS and INS/DGPS Applications. Ph.D. Thesis, University of Calgary, UCGE Report No.20183.
4. Skaloud, J. (1995), Strapdown INS Orient ation Accuracy with GPS Aiding. MSc Thesis, Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada, UCGE Report No. 20079.
5. Osman, A., Noureldin, A., Nassar, S., and El-Sheimy, N. (2003), INS/DGPS Integration Utilizing Wavelet Multi-Resolution Analysis. ION National Technical Meeting, 22-24 January 2003, Anaheim, CA, pp.704-710.
6. El-Sheimy, N., Nassar, S., and Noureldin, A. (2004), Wavelet de-noising for IMU alignment. IEEE Aerospace and Electronic Systems Magazine, 19(10), 32-39.
7. Schaffrin, B. (1995), On some alternatives to Kalman filtering, in Geodetic Theory Today, pp. 235-245, ed. Sans̀o, F., Springer Series, IAG-Symp., No. 114, Springer, Berlin.
8. Schaffrin, B. (1994), Quality Control for sequential GPS Satellite data, "COMPSAT' 94 Short Communications in Computation Statistics, Vienna, Austria, Aug. 1994, pp. 68-70.
9. Rogers, R.M. (2000), Applied Mathematics in Integrated Navigation Systems. AIAA Education Series, American Institute of Aeronautics and Astronautics, Inc., Reston, VA, 2000.
10. Jekeli, C. (2000), Inertial Navigation Systems with Geodetic Applications, Walter deGruyter, Inc., Berlin, 2000.
11. Titterton, D.H., Weston, J.L. (2004), Strapdown Inertial Navigation Technology. Peter Peregrinus, Piscataway, NJ, 2004.
12. Salychev, O. (1999), Inertial Systems in Navigation and Geophysics, Bauman MSTU Press, Moscow, 1999.
13. Haykin, S. (2001), Kalman Filtering and Neural Networks. John Wiley & Sons, Inc., New York, 2001.
14. Meditch, J.S. (1969), Stochastic Optimal Linear Estimation and Control. McGraw-Hill, New York, 1969.
15. Gelb, A. (ed.) (1974), Applied Optimal Estimation. MIT Press, Cambridge, MA, 1974.
16. Brown, R.G., Hwang, P.Y.C. (1992), Introduction to Random Signals and Applied Kalman Filtering, John Wiley & Sons, Inc., New York, NY, 1992.
17. Jansson, P. (1998), Precise kinematic GPS positioning with Kalman filtering and smoothing: theory and applications. PhD Thesis, Report No. 1048, Department of Geodesy and Photogrammetry, Royal Institute of Technology, Stockholm, Sweden.
18. Shin, E.H. (2005), Estimation Techniques for Low-Cost Inertial Navigation. Ph.D. Thesis, University of Calgary, UCGE Report 20219.
19. Sarkka, S. (2008), Unscented Rauch--Tung--Striebel Smoother, Automatic Control, IEEE Transactions on, Volume 53, Issue 3, April 2008 Page(s):845 - 849.
20. Abd-Elhamid W., Osman A., Noureldin A. and El-Sheimy N.: "Wavelet Multi-Resolution Analysis for Enhancing the Performance of Integrated GPS and MEMS-Based Navigation Systems;" Geomatica, V59 (1), pp: 61-72, March 2005.
21. Kalman, R.E. (1960), A New Approach to Linear Filtering and Prediction Problems. Trans. of the ASME - Journal of Basic Engineering, 82, Num. Series D, 35-45.
22. Julier, S.J., Uhlmann J.K. (1996), A general method for approximating nonlinear transformations of probability distributions, Technical report, Department of Engineering Science, University of Oxford, Oxford, England.
23. Julier, S.J., Uhlmann J.K., and Durrant-Whyte H.F. (1995), A new approach for filtering nonlinear systems. Proc. of the American Control Conference, Seattle, WA, pp.1625-1632.
24. Julier, S.J., Uhlmann J.K., and Durrant-Whyte H.F. (2000), A new approach for nonlinear transformations of means and covariances in filters and estimators. IEEE Transactions on Automatic Control, 45(3), 477-482.
25. Wan, E.A., van Der Merwe, R. (2001), The unscented Kalman filter. Chapter 7 in: Simon Haykin (Ed.), Kalman Filtering and Neural Networks, John Wiley & Sons, New York.
26. Grewal, M.S., Andrews, A.P. (1993), Kalman Filtering: Theory and Practice. John Wiley & Sons, Inc., New York, 1993.
27. Grewal, M. S., Weil, L. R. (2001), Global Positioning Systems, Inertial Navigation and Integration, New York, Wiley, 2001.
28. Mehra, R. K. (1972), Approaches to adaptive filtering, IEEE Trans. Automat. Contr., AC-17, pp. 693-698.
29. Song, Q., Han, J.D. (2008), An Adaptive UKF Algorithm for the State and Parameter Estimations of a Mobile Robot, Acta Automatica Sinica, Volume 34, Issue 1, January 2008, Pages 72-79.
30. Garcia, V. J. (1997), Determination of noise covariances for extended Kalman filter parameter estimators to account for modeling errors, Ph. D. dissertation, University of Cincinnati, 1997.
31. Klass, M., Briers M., de Freitas N., Doucet, A., Maskell, S., and Lang, D. (2006), Fast particle smoothing: If I had a million particles, in Proc. ICML 2006, Pittsburgh, PA, pp. 481-488.
32. DAUBECHIES, I., 1992. Ten Lectures on Wavelets. CBMS-NSF Regional Conference Series in Applied Mathematics