Design Of Detection Guidance System For Intercepting Ballistic Missile

With the constant development and progress of science and technology,modern combat weapons are getting more advanced and their destructive power is getting stronger and stronger.The war environment is increasingly complicated.In order to improve penetration,ballistic missiles will be used to release electronic interference to confuse,interfere with each other's interceptor.In this paper,the interception of ballistic missiles under the DRFM electronic jamming environment is taken as the research object.The dissertation focuses on the detection and recognition,target tracking and guidance of DRFM electronic jamming signals.The main contents of this dissertation include the following aspects:The mathematical model of the target interception is established: the necessary coordinate system and the transformation relationship between them are established;the particle motion of the interceptor is mathematically modeled and the observation model of the target tracking is established;finally,Interceptor and missile relative motion between models.Introduced several common DRFM electronic jamming process,and gives the mathematical model of various types of interference signals,and briefly describes the DRFM electronic jamming on the radar detection function.Through the analysis of the time-frequency domain of the interference signal generated by the DRFM jammer,we found that the difference of the energy concentration distribution caused by the jammer's phase quantization and the real signal has the Empirical Mode Decomposition(EMD)The core idea is to separate the harmonic components from the interference signal and propose an interference detection algorithm based on the entropy feature on the basis of its SPWVD transform.By using the dynamic target detection(MTD)and pulse compression technology,the target and the interference signal are phase After accumulating the signals,the signals are separated by the proper window function,and then the signals are recovered through inverse MTD and inverse pulse compression.Finally,the target and interference signals are identified according to the variance of the number of statistical phases.The maneuvering target tracking algorithm is studied.The classical Kalman filter and extended Kalman filter algorithm are introduced.Considering the shortcomings of these algorithms,the IMM filter is studied based on this,and the effectiveness of the algorithm is verified through experimental simulation.Finally,the disadvantages and shortcomings of IMM filtering algorithm are further improved.The simulation results show that the improved IMM filtering algorithm has better filtering and tracking performance and better real-time performance.According to the identification probability of the target signal,a method to select the target of virtual interception is proposed.The common guidance algorithm of proportional guidance is introduced,but the interception effect on maneuvering target is not good.Therefore,Guided law,the second-order sliding mode guidance law based on super-helix algorithm is studied in the aspect of suppressing chattering.Finally,the experimental results show that the algorithm not only has good interception accuracy but also effectively suppresses chattering.