On Optimal Aiming to Hit a Linear Target

Israel David, Amir Alalouf

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Typically weapon systems have an inherent systematic error and a random error for each round, centered around its mean point of impact. The systematic error is common to all aimings. Assume such a system for which there is a preassigned amount of ammunition of n rounds to engage a given target simultaneously, and which is capable of administering their fire with individual aiming points (allowing "offsets"). The objective is to determine the best aiming points for the system so as to maximize the probability of hitting the target by at least one of the n rounds. In this paper we focus on the special case where the target is linear (one-dimensional) and there are no random errors. We prove that as long as the aiming error is symmetrically distributed and possesses one mode at zero, the optimal aiming is independent of the particular error distribution, and we specify the optimal aiming points. Possible extensions are further discussed, as well as civilian applications in manufacturing, radio-electronics, and detection.

Original languageEnglish
Pages (from-to)323-333
Number of pages11
JournalNaval Research Logistics
Volume46
Issue number2-3
DOIs
StatePublished - 1 Jan 1999

Keywords

  • Detection
  • Hit-probabilities
  • Military OR
  • Robotics

ASJC Scopus subject areas

  • Modeling and Simulation
  • Ocean Engineering
  • Management Science and Operations Research

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