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<p>Photoelectric detection target (PDT) is a photoelectric detection sensor that used to detect projectile information. Because the detection screen of PDT is a fan-shaped detection field of view with a certain thickness, it makes the mathematical modeling of detection capability is different from that of conventional photoelectric detection sensors. To evaluate the detection performance of PDT and improve its capture rate, this paper proposes a new mathematical calculation modeling of detection capability of PDT with planar thickness sector field of view, and develops a target recognition algorithm using variational mode decomposition (VMD). According to the optical parameters of selected optical lens and the characteristics of the detection screen, as well as the dynamic process of the target passing through the detection screen, this paper derives the current output calculation function of PDT, and gives the projectile signal recognition algorithm based on VMD. Through quantitative calculation and experiment testing, the rationality of the proposed algorithm is verified, the results show that the capture rate of PDT can still reach 94% under the condition of limit detection distance.</p>

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A mathematical modeling of detection capability of PDT with planar thickness sector field of view and projectile signal recognition algorithm

  • 期刊论文

  • 发表日期：

    2025年5月3日

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  • Hanshan Li,
  • Xiaoqian Zhang,
  • Junchai Gao

摘要

Photoelectric detection target (PDT) is a photoelectric detection sensor that used to detect projectile information. Because the detection screen of PDT is a fan-shaped detection field of view with a certain thickness, it makes the mathematical modeling of detection capability is different from that of conventional photoelectric detection sensors. To evaluate the detection performance of PDT and improve its capture rate, this paper proposes a new mathematical calculation modeling of detection capability of PDT with planar thickness sector field of view, and develops a target recognition algorithm using variational mode decomposition (VMD). According to the optical parameters of selected optical lens and the characteristics of the detection screen, as well as the dynamic process of the target passing through the detection screen, this paper derives the current output calculation function of PDT, and gives the projectile signal recognition algorithm based on VMD. Through quantitative calculation and experiment testing, the rationality of the proposed algorithm is verified, the results show that the capture rate of PDT can still reach 94% under the condition of limit detection distance.