DocumentCode :
107660
Title :
Quick Collateral Damage Estimation Based on Weapons Assigned to Targets
Author :
Bogdanowicz, Zbigniew R. ; Patel, Ketula
Author_Institution :
Armament Res., Dev. & Eng. Center, Picatinny Arsenal, NJ, USA
Volume :
45
Issue :
5
fYear :
2015
fDate :
May-15
Firstpage :
762
Lastpage :
769
Abstract :
We present an innovative approach to quickly estimate collateral damage based on the given weapon-target assignment (WTA). That is, having the predetermined WTA, we estimate the collateral damage of friendly or neutral entities based on the lethality of engaging weapons and the geo-locations of all the entities in the theater. Specifically, we calculate the probability of killing/destroying k friendly (or neutral) assets for given k. The main motivation of this paper is twofold. First, quick collateral damage estimation (QCDE) can support commanders in the battlefields with a new quick decision-making capability. Second, our QCDE could support WTA capabilities with collateral damage consideration. Our computational results indicate that the error in estimating collateral damage is significantly less than 1% and that the execution times are of the order of milliseconds for k (k <;9) assets. Hence, the natural research challenge related to this paper would be the extension of our quick collateral damage estimation to k ≥ 9 that would execute in reasonable time and give a reasonable quality solution.
Keywords :
decision making; probability; weapons; QCDE; WTA; battlefields; destroying probability estimation; killing probability estimation; quick collateral damage estimation; quick decision making capability; weapon target assignment; Algorithm design and analysis; Databases; Gaussian distribution; Optimization; Standards; Weapons; Approximation algorithms; Gaussian distribution; collateral damage; decision support system; discrete optimization; forecast uncertainty; kill probability; military decision-making; weapon-target assignment (WTA);
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2216
Type :
jour
DOI :
10.1109/TSMC.2014.2360823
Filename :
6923445
Link To Document :
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