Research On Infrared Radiation Characteristic Measurement And Warhead Recognition Technology Of Ballistic Missiles

Ballistic missiles have the characteristics of large attack range,high accuracy and great power,and are the killer weapon in modern warfare.The development of anti-missile technology is directly related to national security and the safety of people’s lives and property,and is of great significance.Ballistic missiles throw various kinds of bait during flight and form a missile target group together with real warheads.Therefore,target recognition is the core of the anti-missile mission.It is the key and difficulty of the anti-missile technology to accurately and quickly identify the real warhead from the missile target group,which directly determines the success or failure of the anti-missile mission.Compared with other recognition methods,missile recognition based on infrared radiance has the advantages of high measurement accuracy and strong anti-interference ability,and has been widely used in anti-missile systems.Focusing on the ballistic missiles infrared radiance target recognition,the research content mainly includes the following four parts:(1)Aiming at the problem of infrared radiance measurement of ballistic missile,the calibration of the theodolite mid-wave infrared camera of the infrared radiance measurement system was designed and completed.Take the area source blackbody as the standard radiation source to complete the corresponding radiance calculation.Select 5-level integration time,record the camera calibration pictures at different temperatures,and complete the calculation of the average gray value of the image.Finally,the calibration equation is solved,and the average calibration error of the system is 0.3096%.(2)Aiming at the influence of atmospheric attenuation on the infrared radiation of ballistic missile during transmission,the atmospheric transmittance model of infrared radiation of ballistic missile is established.The atmospheric condition parameters are obtained from the near-ground parameter measurement subsystem,the missile azimuth data are obtained from the ballistic target tracking measurement subsystem,and the atmospheric average transmittance is calculated in real time by the atmospheric parameter analysis subsystem to realize the real-time inversion of the ballistic missile infrared radiance.Finally,the atmospheric transmittance is simulated and analyzed with MODTRAN,and the infrared radiance data of real missiles are tested.(3)Aiming at the problem that the infrared radiation of ballistic missile is easily disturbed by noise,an improved adaptive filtering algorithm for infrared radiance of ballistic missile is proposed.The noise covariance is estimated in real time,the concept of discriminant factorη_k is introduced,and the positive definiteness and robustness are improved based on the simplified Sage-Husa filtering algorithm.Finally,the experiments on the real missile radiance data prove the applicability and superiority of the algorithm in the scene of missile infrared radiance data filtering.(4)According to the requirements of actual missile target recognition task,an early recognition algorithm based on shapelets of ballistic missile infrared radiance(ECBMS)is proposed.For ballistic missile infrared radiance time series,infrared feature extraction based on Gaussian kernel density estimation,feature screening based on weighted F1 measure and feature recognition are completed respectively.Finally,the experiment is carried out based on the ballistic missile infrared radiance database.The experimental results show that the ECBMS algorithm has an average recognition accuracy of 91.54%and an average early-stage performance of 42.23%,which is superior to the existing algorithms and highly interpretable.