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XIAOQIAN ZHANG1,* , HUI GUAN1, JIANJIAN CAO2
To scientifically evaluate the detection performance of photoelectric detection target, based on the working principle of photoelectric detection target, combing with the characteristic of the detection screen of photoelectric detection target using multi-element array photoelectric detector, this paper proposes a new calculation method of target detection probability of photoelectric detection target. We take the central area of the detection screen as the center, and the detection screen is divided into several regions. At the same detection distance, the distance between the projectile passing through each region and the photoelectric detector is different; according to the influence of detection blind area on target irradiance under different detection distance conditions, the calculation model of target signal is established in different region state. The distribution characteristics of target signal and external noise distributed in the whole detection screen are analyzed; the detection probability calculation function is derived. To increase the target radiant energy, laser is applied in photoelectric detection target. The experimental results show that the detection probability obtained by the experiment is consistent with the detection probability model established in this paper. By adding the laser in the photoelectric detection target, the detection ability of the system can be effectively improved, and the detection performance of the photoelectric detection target is stable.
Light field camera, Micro lens array, Warhead fragment, Refocus, Inversion.
XIAOQIAN ZHANG, HUI GUAN, JIANJIAN CAO, Target detection probability calculation model and performance analysis on photoelectric detection target, Optoelectronics and Advanced Materials - Rapid Communications, 15, 7-8, July-August 2021, pp.348-356 (2021).
Submitted at: March 25, 2021
Accepted at: Aug. 16, 2021
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
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