NDLI: Quick Collateral Damage Estimation Based on Weapons Assigned to Targets

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Quick Collateral Damage Estimation Based on Weapons Assigned to Targets

Content Provider	IEEE Xplore Digital Library
Author	Bogdanowicz, Z.R. Patel, K.
Copyright Year	2013
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.
Starting Page	762
Ending Page	769
Page Count	8
File Size	988881
File Format	PDF
ISSN	21682216
Volume Number	45
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weapons Standards Databases Gaussian distribution Optimization Algorithm design and analysis weapon-target assignment (WTA) Approximation algorithms collateral damage decision support system discrete optimization forecast uncertainty kill probability military decision-making
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications Software

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