On the Effect of Data Contamination on Track Purity
Abstract
This paper is concerned with performance analysis for data association, in a target tracking environment. Effects of misassociation are considered in a simple (linear) multiscan framework so as to provide closed-form expressions of the probability of correct association. In this paper, we focus on the development of explicit approximations of this probability. Via rigorous calculations the effect of dimensioning parameters (number of scans, false measurement positions or densities) is analyzed, for various modelings of the false measurements. Remarkably, it is possible to derive very simple expressions of the probability of correct association which are independent of the scenario kinematic parameters.
Keywords
Cite
@article{arxiv.1309.7723,
title = {On the Effect of Data Contamination on Track Purity},
author = {Adrien Ickowicz and Jean-Pierre Le Cadre},
journal= {arXiv preprint arXiv:1309.7723},
year = {2013}
}
Comments
15 pages, dc, 11 figures. To appear in IEEE Transactions on Aerospace and Electronic Systems