Research On Modeling And Adaptive Control Of Infrared Light Screen Detection Sensitivity

In the field of weapon shooting range testing,the vertical target density can measure the quality of weapon shooting accuracy,and can also evaluate the damage efficiency of the weapon system.The spatial position of the projectile target is a key parameter to form the vertical target density.At present,the test systems for measuring the target position of projectiles are mainly multi-light curtain test systems based on sky curtain targets and light curtain targets,and linear array CCD test systems.However,with the continuous advancement of science and technology,high-speed burst weapons have become the focus of current weapon system research.For the multiple projectile targets fired by high-speed burst weapons,the problems of occlusion and overlap are prone to occur.The above test system cannot accurately obtain multiple projectiles For the position parameters of the target,this paper develops a recognition modeling method using a few light curtains to optimize the traditional test system,which can accurately match and identify the position parameters of multiple projectile targets.Based on the analysis of the research status of the target position test system at home and abroad,this paper proposes a projectile target position test method based on the multi-optical path combination photoelectric detection system;The overall design of the photoelectric detection system of the curtain combination;according to the spatial geometry of the detection light curtain,the analytical mathematical model of the target spatial position and the uncertainty error model of the target position of the test system are established.In order to accurately obtain the target spatial position,it is necessary to accurately extract the key parameters in the target position model.The collected signals and image information can be identified by the wavelet transform method of particle swarm optimization and the method of K cluster segmentation to obtain high accuracy.Time value and pixel coordinate information.Introducing factors such as time,speed and position,combined with the coincidence characteristics of projectile targets,a multi-projectile target spatio-temporal information constraint recognition model is derived from the spatial structure of the detection light curtain,and combined with the target information fusion recognition method associated with joint probability data,multiple projectile targets are obtained.The area of association between the time combination and the target.The multi-target time combination probability model of different space positions is established,and the correct time combination corresponding to multiple targets is determined by analyzing the probability function of the target time combination,so as to achieve the purpose of calculating the multi-projectile target space position.Combined with the data collected from the experiment,the collected data is processed according to the target signal time value extraction algorithm,the target image feature extraction algorithm and the multi-target information fusion recognition algorithm,and the final multi-projectile target matching and recognition results are obtained.Target position data measured by the target plate.The results show that the target position test method based on the multi-optical path combination photoelectric detection system proposed in this paper can effectively identify the spatial positions of multiple projectile targets,and has certain theoretical and practical application value.