Font Size: a A A

Research On Waveform Recognition Of Transonic Velocity Projectiles In Indoor Kilometer Targets

Posted on:2021-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:L L HuangFull Text:PDF
GTID:2392330602495139Subject:Precision instruments and machinery
Abstract/Summary:PDF Full Text Request
Shooting range testing is an important link in the production and development of weapons,which plays a vital role in improving the combat effectiveness of weapon systems.With the development of new weapon systems,a system which can detect the speed of projectile in a fullballistic range become more and more promote.The indoor kilometer target track speed measurement systems based on indoor split-type large-area speed measurement technology have filled a technical gap in this field.However,when the projectile is in a trans-sonic or supersonic flight state,an interference signal with a high similarity to the projectile signal may be generated,causing the full ballistic speed test to fail.In some way,there is still room for the system to improve.In order to solve these problems,we focuses on the indoor speed measurement system of kilometer target track.The specific research content is as follows:1)Calculation of the theoretical value of projectile velocity at transonic velocity measuring point.First,we established the a mathematical model of projectile particle motion based on knowledge related to external ballistics.Second,The external ballistic simulation technology is used to establish a simulation model for calculating the theoretical value of the external ballistic within a kilometer target range.Last,regarding the other non-interference signal data as initial parameters,we obtain the theoretical calculation value of the projectile flight speed at the transonic speed measurement point by the simulation model.This provides a reference standard for identifying the effective signal of the projectile and calculating the actual flight speed.2)Scheme and Implementation of Projectile Velocity Measurement Based on Fast Crosscorrelation Algorithm.we analyzed the basic characteristics of the projectile-transition signal with interference and selected a suitable algorithm to effectively process the projectile signal by comparing the advantages and disadvantages of different signal processing algorithms.In order to verify the feasibility of the algorithm,we used the measured projectile data.After transplanting the verified algorithm to the FPGA-based hardware processing platform,we compared the set of calculated velocity values with the theoretical calculated values obtained by the external ballistic simulation model,which is to realize the selection of the actual flying velocity of the projectile.3)Data acquisition and circuit design.According to the data acquistion requirements of the indoor kilometer target speed measurement system,we designed the core circuit of the hardware processing platform and the two-way projectile data acquisition circuit,based on which,the design and function verification of the two-way projectile signal acquisition program are completed.4)Functional verification and analysis.On the basis of realizing the overall program design of projectile data acquisition and fast cross-correlation processing,we conducted experiments in a laboratory environment,which includes building a test platform on the existing indoor largearea speed measurement system to verify the overall function and combining the signal processing equipment of the existing speed measurement system to complete the speed comparison experiment.In summary,the transsonic projectile velocity measurement scheme combined with external trajectory simulation technology and fast cross-correlation technology can realize transsonic projectile waveform recognition,which has a certain role in improving the reliability of the speed measurement of the indoor kilometer target trajectory velocity measurement system.This way is a new idea for accurate measurement of transonic projectile velocity.
Keywords/Search Tags:Indoor Kilometer target, Trans sound speed, Fast cross-correlation algorithm, FPGA, Speed measurement
PDF Full Text Request
Related items