
Proceedings Paper
A testbed based on survivability for comparing threat evaluation algorithmsFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Threat evaluation is the process in which threat values are assigned to detected targets, based upon the inferred
capabilities and intents of the targets to inflict damage to blue force defended assets. This is a high-level
information fusion process of high importance, since the calculated threat values are used as input when blue
force weapon systems are allocated to the incoming targets, a process often referred to as weapon allocation.
Threat values can be calculated from a number of different parameters, such as the position of the closest point of
approach (CPA) with respect to blue force defended assets, time required to reach the CPA, the target's velocity,
and its type. A number of algorithms for calculating threat values have been suggested throughout literature,
however, criteria to evaluate the performance of such algorithms seem to be lacking. In this paper, we discuss
different ways to assess the performance of threat evaluation algorithms. In specific, we describe an implemented
testbed in which threat evaluation algorithms can be compared to each other, based on a survivability criterion.
Survivability is measured by running the threat evaluation algorithms on simulated scenarios and using the
resulting threat values as input to a weapon allocation module. Depending on how well the threat evaluation is
performed, the ability of the blue force weapon systems to eliminate the incoming targets will vary (and thereby
also the survivability of the defended assets). Our obtained results for two different threat evaluation algorithms
are presented and analyzed.
Paper Details
Date Published: 19 May 2009
PDF: 11 pages
Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520C (19 May 2009); doi: 10.1117/12.816819
Published in SPIE Proceedings Vol. 7352:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
Stephen Mott; John F. Buford; Gabriel Jakobson, Editor(s)
PDF: 11 pages
Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520C (19 May 2009); doi: 10.1117/12.816819
Show Author Affiliations
Fredrik Johansson, Univ. of Skövde (Sweden)
Göran Falkman, Univ. of Skövde (Sweden)
Published in SPIE Proceedings Vol. 7352:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
Stephen Mott; John F. Buford; Gabriel Jakobson, Editor(s)
© SPIE. Terms of Use
