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18 December 2023 Design of adaptive predictive filter control tracking algorithm for optoelectronic reconnaissance payload
Huaiqi Guo, Meng Zhu, Tuo Sun
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Proceedings Volume 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics; 129631P (2023) https://doi.org/10.1117/12.3008116
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China
Abstract
As an important combat equipment for battlefield information acquisition, situation awareness and weapon guidance, photoelectric reconnaissance payload carries out the whole chain task of "detection-search-tracking-guiding-evaluation". In view of the large input delay of miss range, bad disturbance environment of the aircraft, target occlusion or large scale change of the aircraft, the miss range has wild value, and so on, it is necessary to suppress the tracking input delay and study the compensation delay prediction and compensation method of miss range. Firstly, the state prediction matrix and prediction error covariance matrix of the current time are constructed by the dynamic model of the moving target, the target acceleration value at the previous time is statistically analyzed and then fed back to the target state space model to update the current acceleration mean value, and the time-varying factors are corrected by the residual sequence, and the gain is adjusted adaptively, so as to improve the tracking performance when the state changes. The tracking simulation experiments on different maneuvering targets show that the tracking of maneuvering targets can be well realized with good tracking performance.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Huaiqi Guo, Meng Zhu, and Tuo Sun "Design of adaptive predictive filter control tracking algorithm for optoelectronic reconnaissance payload", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 129631P (18 December 2023); https://doi.org/10.1117/12.3008116
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KEYWORDS
Detection and tracking algorithms
Signal filtering
Error analysis
Covariance matrices
Motion models
Design and modelling
Reconnaissance
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