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Research On Radar Seeker Simulation And Its Key Technologies

Posted on:2019-11-18Degree:MasterType:Thesis
Country:ChinaCandidate:Z ChenFull Text:PDF
GTID:2382330596958969Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Radar seeker is the key equipment for guided weapons.With the development of modern technology,the radar seeker simulation system has attracted more and more attention because of its safe,controllable,efficient and repeatable and non-destructive characteristics.Through the radar seeker simulation system,various performance evaluations and data analysis can be obtained at a lower cost to improve the radar development efficiency.Therefore,it is of great significance to study the radar seeker system simulation and its key technologies.This thesis focuses on radar seeker simulation and its key technologies.The main innovations are as follows:1.The simulation of radar guidance system based on Visual C++ is implemented.The simulation system integrates the active and passive radar composite seeker system,the active radar seeker system and the passive radar seeker system.It can select different systems for simulation according to user needs,with good human-computer interaction and operability.The system can simulate multiple signals and a variety of environments,clearly showing the flight path,angle value and error of the missile and the target,which brings great convenience to the researchers.2.The pulse repetition interval(PRI)estimation algorithm in passive radar seeker system is analyzed and compared.Through simulation,we conclude that the cumulative difference histogram(CDIF)algorithm has a very large amount of computation,and the sequence difference histogram(SDIF)algorithm has a relatively small amount of computation,but when the jitter is large,it will produce incorrect sorting,and its anti-jitter is poor.The PRI transform algorithm can suppress harmonic components well and solve the problem of signal loss or jitter.In general,the improved PRI algorithm performs better than the traditional PRI transform algorithm.3.For the problem that the existing maneuvering target parameter estimation algorithm has cross-term interference and large computational complexity when estimating multi-objectives,a multi-maneuvering target acceleration estimation method based on high-order adjacent autocorrelation function is proposed.Firstly,the high-order Adjacent Cross Correlation Function(HACCF)of the radar echo signal isobtained,and then the results of the HACCF are averaged to obtain the autocorrelation term and the cross-correlation term is suppressed.The constant term is frequency estimated and the converted target acceleration spectrum is calculated.Finally,the target acceleration estimate is obtained by searching the spectral peak.Compared with the traditional method,the proposed method has a small amount of calculation,can obtain the estimation result in a short time,and can estimate the parameters of multiple maneuvering targets at the same time,which has good engineering applicability value.
Keywords/Search Tags:radar system simulation, pulse repetition interval, signal sorting, maneuvering target, parameter estimation
PDF Full Text Request
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