Target Localization Method Based on Aliased Data from Cross-Strip Anode Detectors
When using cross-strip(XS)anode single-photon detectors for space target detection,a substantial amount of aliased data is generated,which cannot be directly utilized.To improve the speed and quality of target localization,it is crucial to improve data utilization efficiency and effectively use aliased data.This involves modeling and analyzing the aliased data generated during the detection process,understanding the specific data structure,and using a centroid detection method that preserves the aliased data.In this study,we performed numerical simulations and actual optical path experiments to compare the detection results of methods that retain versus those that remove aliased data.In simulation and experimental settings,the method retained aliased data achieved lower detection errors.In experiments,retaining aliased data reduced the detection error by an average of 11.9%compared to the case of removing it,resulting in more accurate detection and faster,more efficient target localization.
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