| In the field of modern range testing,accurate recognition of projectile position is an important indicator for measuring the performance of warheads and a key technology for evaluating damage effectiveness.With the increasing complexity and diversity of modern combat environments,traditional sky-screen detection systems are difficult to deploy,expensive,and structurally cumbersome;Traditional acoustic detection systems have simple target placement,but their measurement accuracy is low and cannot detect multiple projectiles.The uncertainty of the dispersion of multiple projectiles during continuous firing makes it difficult to measure the position of projectiles.According to the testing requirements of modern ranges,it is important to design a portable,high-precision,simple target placement,and low-cost multi projectile detection system.Therefore,this article focuses on the research of multiple projectile position testing methods.To address the shortcomings of traditional detection devices and methods.This article proposes a detection method for sky-screen assisted acoustic detector detection.Based on the advantages of different detectors and the analysis of different signal propagation characteristics,the spatial structure of the composite detection device is designed.A mathematical model for calculating the position coordinates of multiple projectiles is derived,and a position error model is constructed based on error transmission theory.To ensure the subsequent recognition of bullet signals,firstly,by analyzing the characteristics of multi target signals detected by multiple sensors,empirical mode decomposition and wavelet threshold filtering methods are used to denoise the acoustic signal and sky-screen signal,respectively,to filter out the noise interference carried by bullet signals in complex environments and achieve significant denoising effects.Based on the filtered signal and the designed acousto-optic composite detection model,the target is identified through the correlation fusion of acousto-optic signals.After removing signals with significant differences,different feature vectors are extracted,compressed by principal component analysis,and finally recognized using the support vector machine classification method,effectively improving the recognition rate of real signals,And studied the time-delay algorithm for the identified signal.Finally,in order to achieve the calculation of the position of multiple projectiles,it is necessary to solve the signal matching problem when multiple projectiles are fired consecutively.The problem of occlusion and overlap of the detection light screen when the projectiles are aligned was analyzed.Based on the characteristics of different projectiles,a clustering algorithm was used to select the signal combination sequence to be determined.At the same time,a matching model for the spatiotemporal constraints of the projectiles was constructed using the method of spatiotemporal information fusion of acoustic and optical signals according to the designed model structure,Combining the D-S evidence fusion algorithm,complete the final decision of matching multiple sensors with the same projectile signal.Finally,based on the model of acousto-optic composite detecting projectile position,an experimental platform was built to collect the sky-screen signal and acoustic signal of the projectile passing through the target for filtering and processing.The processed multiple projectile signals were identified and matched for experiments.The correctly matched projectile signal was substituted into the analytical model to calculate the coordinates,and compared and verified with the actual coordinate information of the projectile.The results show that the analytical model for projectile position established in this article can calculate the positions of multiple projectiles reaching the target surface.At the same time,the recognition matching algorithm based on the model can solve the occlusion problem of multiple projectiles in the sky-screen and the problem of traditional acoustic detector arrays being unable to detect the positions of multiple projectiles.It successfully overcomes the problems of difficult target placement and low measurement accuracy,and verifies the feasibility of the testing method in this article. |