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Application Analysis of a Construction Template Filtering Algorithm in Photoelectric Detection of Explosion Signal
Received date: 2018-12-12
Online published: 2025-05-30
Aiming at the problem of noise interference affecting target recognition in the application of blast signal photoelectric detection, the morphological difference between target and interference is analyzed. The target filtering method is used to identify the target, and the theoretical optimal solution of the method is given. An M-shaped template based on sine wave is constructed. Based on this, a template with variable parameters is constructed. The morphological features of the target signal can be obtained through self-learning, and the learning result is used for the recognition of the target. The processing of the measured data shows that the method can effectively solve the problem that the system cannot correctly identify the target when the noise interference is serious.
Key words: relational filtering; signal recognition; self-studying
QI Min , ZHANG Xianwei , CHEN Junhui , WANG Mingqi , LU Yongan , LI Rui . Application Analysis of a Construction Template Filtering Algorithm in Photoelectric Detection of Explosion Signal[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2020 , 40(1) : 40 -45 . DOI: 10.15892/j.cnki.djzdxb.2020.01.009
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