A Novel Two-Staged Decision Support based Threat Evaluation and Weapon Assignment Algorithm, Asset-based Dynamic Weapon Scheduling using Artificial Intelligence Techinques

Autor:	Naeem, Huma, Masood, Asif, Hussain, Mukhtar, Khan, Shoab A.
Rok vydání:	2009
Předmět:	Computer Science - Artificial Intelligence
Zdroj:	IJCSIS June 2009 Issue, Vol. 2, No. 1
Druh dokumentu:	Working Paper
Popis:	Surveillance control and reporting (SCR) system for air threats play an important role in the defense of a country. SCR system corresponds to air and ground situation management/processing along with information fusion, communication, coordination, simulation and other critical defense oriented tasks. Threat Evaluation and Weapon Assignment (TEWA) sits at the core of SCR system. In such a system, maximal or near maximal utilization of constrained resources is of extreme importance. Manual TEWA systems cannot provide optimality because of different limitations e.g.surface to air missile (SAM) can fire from a distance of 5Km, but manual TEWA systems are constrained by human vision range and other constraints. Current TEWA systems usually work on target-by-target basis using some type of greedy algorithm thus affecting the optimality of the solution and failing in multi-target scenario. his paper relates to a novel two-staged flexible dynamic decision support based optimal threat evaluation and weapon assignment algorithm for multi-target air-borne threats. Comment: 7 Pages, International Journal of Computer Science and Information Security (IJCSIS)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/0907.0067 Zobrazit plný text záznamu View this record from Arxiv