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Research On Modeling And Allocation Algorithm Of Battlefield Electromagnetic Spectrum Allocation

Posted on:2019-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:X F QuFull Text:PDF
GTID:2382330572950270Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
As the information carrier of modern warfare,the electromagnetic spectrum is the only information transmission medium that can realize interconnection at any time and anywhere.Various electronic equipment of UVAS and the command and control of UVAS on the battlefield are inseparable from the electromagnetic spectrum.It is also due to the increasing dependence of various weapons and equipment on the electromagnetic spectrum resources,resulting in an increasingly fierce frequency conflict between various frequency equipments on the battlefield,making it difficult for various combat equipment on the battlefield to exert its operational effectiveness.Therefore,the research on efficient spectrum resource allocation algorithms on the battlefield is imminent.In order to adapt to the rapidly changing situation of modern information battlefields,the electromagnetic spectrum resource allocation algorithm must ensure the fairness of all frequency equipment on the battlefield,at the same time,it must must have the characteristics of rapid distribution.In this paper,according to the shortcomings in the existing spectrum allocation algorithms,starting from the frequency characteristics of each frequency equipment,based on graph theory model and auction bidding model,the auction bidding algorithm based on maximum independent sets is studied.The specific work includes the following:1.Taking into account the importance of information acquisition and information application on both sides of battle in the modern information battlefield,the modeling of the battlefield electromagnetic environment are mainly studied.In order to directly demonstrate the current battlefield electromagnetic spectrum situation,we first studied the battlefield electromagnetic spectrum situation generation technology and the battlefield electromagnetic spectrum situation display technology.Then according to the generated electromagnetic spectrum situation,the frequency equipment state and the interference relationship between the frequency equipment are analyzed.And the frequency equipment state matrix and interference matrix are obtained,which provide the data support for the following research on spectrum allocation algorithms.2.Taking into account the characteristics of complex topological structures caused by the intensive use of frequency equipment in the battlefield,this paper discusses how to simplify the relationship between battlefield disturbances.Based on the frequency characteristics of the equipment,the state of the electromagnetic spectrum on the available spectrum was studied,and the topological structure on the corresponding spectrum was obtained.Thus,the complex network topology formed by a multiple spectrum set was simplified to a simple topology diagram on a single spectrum.It not only clarifies the topological relationship between the interference devices in the battlefield,but also greatly reduces the complexity of the algorithm.3.Aiming at the problem that the existing frequency spectrum allocation algorithm allocates frequency spectrum to only one frequency equipment at a time,resulting in a lower efficiency of the algorithm,the idea of a very large independent set is introduced.In addition,the information exchange model between UVAS on the battlefield and auction bidding algorithm models coincides with each other.Both of them are centralized and distributed coexistence models.An auction bidding spectrum allocation algorithm based on maximum independent sets is proposed.The algorithm can allocate frequency spectrum for all frequency equipment for extremely independent centralization at one time,and it will not interfere with frequency equipment that can obtain spectrum usage rights,thereby improving the distribution efficiency of spectrum allocation algorithms.
Keywords/Search Tags:UAVS cluster operations, Extremely independent set, Graph theory, Auction, Spectrum allocation
PDF Full Text Request
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