Title :
Target tracking through a coordinated turn
Author :
Moreland, Mark R. ; Gordon, Neil J.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia
Abstract :
Allowing for perturbations in speed and turn rate, the state of a target moving in a coordinated turn obeys a nonlinear stochastic differential equation which cannot be discretised exactly. Existing algorithms for coordinated turn tracking avoid this problem by ignoring perturbations in the continuous-time model and adding process noise only after discretisation. We retain this modelling by discretising using first and second order Taylor approximations to the continuous-time coordinated turn dynamic model. The discrete-time models are used as the basis for a particle filter for tracking a target moving in a coordinated turn. The performances of the discretisation techniques and the effect of different coordinate systems on tracking performance are examined.
Keywords :
approximation theory; discrete time systems; filtering theory; importance sampling; nonlinear differential equations; stochastic processes; target tracking; tracking filters; Taylor approximations; continuous-time coordinated turn dynamic model; coordinate systems; coordinated turn tracking; discrete-time models; discretisation techniques; nonlinear differential equation; nonlinear stochastic differential equation; particle filter; process noise; sequential importance sampling; speed perturbations; target tracking; turn rate perturbations; Aircraft; Convergence; Cyclic redundancy check; Difference equations; Filtering; Nonlinear equations; Particle filters; Sensor fusion; Stochastic processes; Target tracking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415935