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XIAOQIAN ZHANG1, HANSHAN LI1,*
The external factors influence the performance of the active photoelectric detection sensor (APDS) to recognize the real projectile signal and reduce the velocity measurement accuracy of the system. Based on detection mechanism of APDS, the calculation model of the laser reflection energy of the projectile’s surface is established and the output signal voltage function of APDS is deduced; The time extraction method of projectile signal based on wavelet transform modulus maximum is developed, the double constraint model composed of the same projectile time matching criterion and the correlation coefficient of double parallel laser detection screens are formed. The experiments are carried out in different interference environments, the test results show that the time extraction method proposed in this paper can obtain accurate test data. Moreover, when multiple projectiles are continuously fired, combined with the double constraint model, the time information of the same projectile passing through the two laser detection screens can be matched and the velocity of each projectile can be accurately obtained, which can effectively reduce the influence of external factors on the velocity measurement system based on dual APDSs.
Active photoelectric detection sensor, Projectile, Laser, Wavelet transform, Time extraction and match recognition.
XIAOQIAN ZHANG, HANSHAN LI, Multiple feature time extraction and match recognition of projectile in velocity measurement system based on dual active photoelectric detection sensors, Optoelectronics and Advanced Materials - Rapid Communications, 16, 11-12, November-December 2022, pp.509-517 (2022).
Submitted at: Aug. 10, 2022
Accepted at: Dec. 5, 2022
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
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