A Measurement and Matching Recognition Algorithm of Multiple Projectile Dispersion Positions Using a Linear Array CCD and a Sky Screen Fusion

• Published in: IEEE transactions on instrumentation and measurement Vol. 74; pp. 1 - 11
• Main Authors: Li, Hanshan, Zhang, Xiaoqian, Gao, Junchai
• Format: Journal Article
• Language: English
• Published: New York IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Charge coupled devices; Coordinate measuring machines; Datasets; Dispersion; Firing; High frequency; Line array CCD; Linear arrays; Matching; Mathematical models; Measurement by laser beam; Measurement methods; Position measurement; projectile; Projectiles; Recognition; Screens; sky screen; Straight lines; Testing
• ISSN: 0018-9456; 1557-9662
• DOI: 10.1109/TIM.2025.3545155

To obtain the dispersion positions of multiple projectiles of multibarrel weapon with high-frequency continuous firing modes, this article proposes a new measurement method and projectile position matching recognition algorithm using a linear array CCD and a sky screen fusion and establishes a new mathematical calculation model of multiple projectile positions with four different detection screens. According to the established spatial geometry relationship of four detection screens and the time value dataset for each detection screen, we use each time value of the output signal of each detection screen to construct a time dataset of the multiple projectiles passing through the four detection screens, utilize any time combination data of the established time dataset to calculate the multiple projectile coordinates in each detection screen, and obtain the coordinate dataset, and then, based on the criterion that only one straight line will be formed when each projectile passes through the four detection screens, we use the spatiotemporal constraint relation of four detection screens to match projectile position, determine the actual coordinates of the same projectile, and obtain the real multiple projectile positions. Through testing and analysis, we verify the feasibility and test accuracy of the proposed method and the projectile position matching recognition algorithm by comparing with other test methods.