Modified RHKF filter for improved DR/GPS navigation against uncertain model dynamics

ETRI Journal

Volumn 34, Issue 3, 2012, Pages 379-387

  Cho, Seong Yun ^a   Lee, Hyung Keun ^b  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b Hankuk Aviation University   (South Korea)

Author keywords

Bias estimation; DR GPS; EKF; Magnetic compass; RHKF filter; Varying bias

Indexed keywords

BIAS ESTIMATION; DR/GPS; EKF; MAGNETIC COMPASS; RHKF FILTER; VARYING BIAS;

COMPASSES (MAGNETIC); FIR FILTERS; IMPULSE RESPONSE; KALMAN FILTERS;

GLOBAL POSITIONING SYSTEM;

EID: 84863333789     PISSN: 12256463     EISSN: 22337326     Source Type: Journal    
DOI: 10.4218/etrij.12.0111.0391     Document Type: Article

References (16)

1. J. A. Farrell and M. Barth, The Global Positioning System & Inertial Navigation, New York: McGraw-Hill, 1999.
2. L. R. Grewal, L. R. Weill, and A. P Andrews, Global Positioning Systems, Inertial Navigation, and Integration, New York: John Wiley & Sons, Inc., 2001.
3. B. Parkinson and P. Axelad, Global Positioning System: Theory and Applications, American Institute of Aeronautics and Astronautics, 1996.
4. M. J. Caruso, "Applications of Magnetoresistive Sensors in Navigation System", SAE SP-1220, Feb. 1997, pp. 15-21.
5. S. Y Cho and C. G. Park, "Tilt Compensation Algorithm for 2-Axis Magnetic Compass", IEE Electron. Lett., vol. 39, no. 22, Oct. 2003.
6. R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering, New York: John Wiley & Sons, Inc., 1997.
7. W. H. Kwon, P. S. Kim, and P. G. Park, "A Receding Horizon Kalman FIR Filter for Discrete Time-Invariant Systems", IEEE Trans. Autom. Control, vol. 44, no. 9, Sept. 1999, pp. 1787-1791.
8. W. H. Kwon, P. S. Kim, and S. H. Han, "A Receding Horizon Unbiased FIR Filter for Discrete-Time State Space Models", Automatica, vol. 38, no. 3, Mar. 2002, pp. 545-551. (Pubitemid 34036427)
9. K. V. Ling and K. W. Lim, "Receding Horizon Recursive State Estimation", IEEE Trans. Autom. Control, vol. 44, no. 9, Sept. 1999, pp. 1750-1753.
10. L. Danyand and L. Xuanhuang, "Optimal State Estimation without the Requirement of a Priori Statistics Information of the Initial State", IEEE Trans. Autom. Control, vol. 39, no. 10, Oct. 1994, pp. 2087-2091.
11. H. Michalska and D. Q. Mayne, "Moving Horizon Observers and Observer Based Control", IEEE Trans. Autom. Control, vol. 40, no. 6, Jun. 1995, pp. 995-1006.
12. J. B. R. do Val and E. F. Costa, "Stability of Receding Horizon Kalman Filter in State Estimation of Linear Time-varying Systems", Proc. IEEE Conf. Decision Control, Sydney, Australia, Dec. 2000.
13. G. F. Trecate, D. Mignone, and M. Morari, 'Moving Horizon Estimation for Hybrid Systems", IEEE Trans. Automatic Control, vol. 47, no. 10, Oct. 2002, pp. 1663-1676. (Pubitemid 35298552)
14. Y. S. Kim, S. L. Choi, and K. S. Hong, "A Suboptimal Algorithm for the Optimal Bayesian Filter Using Receding Horizon FIR Filter", Proc. IEEE ISIE, 2001, pp. 1860-1865.
15. PS. Kim, "Separate-Bias Estimation Scheme with Diversely Behaved Biases", IEEE Trans. Aerospace Electron. Syst., vol. 38, no, 1, Jan. 2002, pp. 333-339. (Pubitemid 34491132)
16. G. Minkler and J. Minkler, Theory and Application of Kalman Filter, Palm Bay, FL: Magellan Book Co., 1993.