Title :
A hybrid bootstrap filter for target tracking in clutter
Author_Institution :
Pattern & Inf. Process. Dept., Defence Res. Agency, Malvern, UK
Abstract :
The problem of tracking multiple targets with multiple sensors in the presence of interfering measurements is considered. A new hybrid bootstrap filter is proposed. The bootstrap filter is an approach where random samples are used to represent the target posterior distributions. By using this approach, we circumvent the usual problem of an exponentially increasing number of association hypotheses as well as allowing the use of any nonlinear/non-Gaussian system and/or measurement models.
Keywords :
bootstrap circuits; radar clutter; radar tracking; sensor fusion; target tracking; association hypotheses; clutter; exponentially increasing number; hybrid bootstrap filter; interfering measurements; multiple sensors; multiple targets; nonGaussian system; nonlinear system; random samples; target posterior distributions; target tracking; Acceleration; Aerospace and electronic systems; Bayesian methods; Clutter; Conference proceedings; Filters; Frequency domain analysis; Frequency response; Notice of Violation; Radar tracking; Steady-state; Target tracking; Weapons;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
