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Research On Ballistic Missile Mid-course Target Recognition Algorithm

Posted on:2015-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:J DaiFull Text:PDF
GTID:2322330491462765Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
The midcourse of ballistic missile target recognition is a key link of the Missile Defense System.The target shape is simple,characteristic is not obvious,more interference,but from a practical defense process,missile midcourse flight is the most suitable for anti Missile defense stage,so we need to study the new characteristics of the missile warhead.Ballistic missile radar echo data acquisition is difficult,usually by theoretical calculation or target scaled model of indoor measurement data.The traditional simulation data are generally based on model of static state,the lack of practical performance,can not meet the complex and ever-changing battlefield environment.In this paper,the midcourse of ballistic missile target recognition based on the background,research of target recognition in missile.Radar characteristics of midcourse targets can be extracted:RCS,micro characteristics,imaging characteristics.Based on these three characteristics,in order to USA militia intercontinental missile as a model for the real size simulation,study the feasibility of target recognition by these properties.Study on Simulation of the missile target recognition based on RCS,RCS features include different goals,using the autocorrelation function method to estimate the target in the midcourse precession period of RCS sequence,RCS specific target dynamic scenes.Finally,discussed the use of several methods for the detection and identification of high speed target ISAR imaging algorithm for high resolution.The article finally has carried on the summary to the full text content,discusses the deficiencies of this paper,points out the future research direction of ballistic missile defense system.
Keywords/Search Tags:ballistic missile, target identification, RCS, ISAR, high-speed target detection
PDF Full Text Request
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