Published in International Journal of Advanced Research in Electrical and Electronics Engineering
ISSN: 2321-4775 Impact Factor:1.6 Volume:3 Issue:2 Year: 14 February,2016 Pages:88-92
The feasibility of the Extended Kalman Filter (EKF) using range and bearing measurements is explored for on-seawater applications. The input estimation technique used for in-air applications is tried and extended to on-sea water applications. The algorithm estimates, target motion parameters and detects target maneuver using chi-square distributed random sequence residual. Upon detection of target maneuvers, this algorithm corrects the velocity and position components using acceleration components, which are calculated using the input estimation technique. Finally, the performance of this algorithm is evaluated in Monte-Carlo Simulation.
EKF, chi-square distribution, Monte-Carlo simulator.
[1]. N. H. GHOLSON and R.L. MOOSE, “maneuvering target tracking using adaptive state estimation”, IEEE Transactions on Aerospace and Electronic Systems, Vol. AES 13, 1977, 310-317. [2]. R. F. BERG, “Estimation and prediction for maneuvering target trajectories”, IEEE Transactions on Automatic Control, AC-28, 1983, 294-304. [3]. P.L.BOGLER, “Tracking a maneuvering target using input estimation”, IEEE Transactions on Aerospace and Electronic Systems, Vol. AES 23, 1987, 298-310. [4] S.T. Pork and J.G. Lee, “Design of a Practical Tracking Algorithm with Radar Measurements”IEEE Transactions on Aerospace and Electronic Systems, Vol. AES. No.4. Oct’98. [5] Y. Bar-Shalom and Fortran, “Tracking and Data Association”, Academic Press, Inc., San Diego, USA, 1991. [6] Y. Bar-Shalom and X.R. Lee, “Estimation and Tracking Principles, Techniques and Software”, Artech House, Boston, London, 1993.