Quick Collateral Damage Estimation Based on Weapons Assigned to Targets
Zbigniew R. Bogdanowicz, Ketula Patel
Abstract
Zbigniew R. Bogdanowicz, Ketula Patel
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.
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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.
Key concepts: Collateral damage, Collateral, Computer science, Estimation, Lethality, Quality (philosophy), Reliability engineering, Business