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Research On GIG-based Intelligent Control And Command System In Air Defense Operations

Posted on:2014-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:Z P HanFull Text:PDF
GTID:2256330422952877Subject:Weapons systems, and application engineering
Abstract/Summary:PDF Full Text Request
Air defense has always been a key component of tactical operations. The developing gridcomputing technology and information technology establishes the technological foundation of systemconstruction. The requirement to build a rapid assessment and quick response command and controlsystem dealing with multiple threatening targets is round the corner due to demands of the globalinformation grid based network centric warfare. This paper aims to study a network based intelligentcommand and control system. Main works are as follows:Firstly the defense system structure is designed based on the characteristics of the incomingtargets and working process. Equipment requirements such as weapon types and related parametersare determined according to the operational goals. A detailed weapon deployment is given based onthe analysis of conventional air defense operation.Secondly according to the characteristics of the air defense operation, a detailed description ofessential threat cues in the assessment process and their action principles is given. Then the originaldata is processed using fuzzy theory. Next a two-stage evaluation structure is proposed: the first stageassume unknown important information of distant target based on association rules, then an averagelinear weighted method is used on the parameters to compute assessment results; Bayesian network isinvolved when information is full.Then the air defense logic model and its corresponding mathematical model are establishedbased on the anti-aircraft fire distribution rules. Based on the model, an online adjustment killprobability problem is proposed. All assessment indexes are processed with suitable methods. Then aneural network is used to achieve the purpose of online adjustment. In further step an improvedshuffled frog leaping algorithm is purposed to solve the fire distribution problem. Simulation resultsverify the feasibility and effectiveness of the proposed algorithm.Finally an integrated intelligent system of command and control is designed. Then a situationassessment module, a fire distribution module and a targets&defended assets loading module arediscussed respectively on subsystem-construct principles and functions. The simulate demonstrationshows the feasibility and convenience of the human-computer interaction.
Keywords/Search Tags:Air Defense, Decision Support Systems, Threat Evaluation, Association Rules, BayesianNetworks, Weapon Assignment, Shuffled Frog Leaping Algorithm, Graphical User Interface
PDF Full Text Request
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