Title :
Non-linear system/linear measurements approach to passive position location using extended Kalman filtering
Author :
Challa, S. ; Faruqi, F.A.
Author_Institution :
QUT, Signal Processing Res. Center, Brisbane, Qld., Australia
Abstract :
In solving navigation and tracking problems it has been a widely held view that only the linear system/nonlinear measurement approach is feasible and that it is extremely difficult to derive a non-linear system linear measurements model. Contrary to this view we present here a very simple non-linear system linear measurements model for passive position location problem and apply an extended Kalman filter (EKF) for obtaining position estimates of a stationary emitter. The tabulated results obtained from the Monte Carlo simulations clearly indicate its superiority over the linear system non-linear measurements approach. The problem of a stationary signal being received by a moving aircraft is discussed
Keywords :
Kalman filters; Monte Carlo methods; estimation theory; nonlinear filters; nonlinear systems; radio direction-finding; radionavigation; tracking; Monte Carlo simulation; aircraft; extended Kalman filtering; navigation; nonlinear system/linear measurements approach; passive position location; position estimates; stationary emitter; tracking; Aircraft navigation; Filtering; Kalman filters; Least squares methods; Linear systems; Motion planning; Noise measurement; Nonlinear equations; Nonlinear filters; Position measurement;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608422