8 September 2011 Comparison of frequency-based and spatial subdivision mask sets for passive detection and target tracking with a single photodetector
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Abstract
Detection and tracking of self-luminous point sources and small targets is implemented using a single, low noise photodetector together with a programmable micromirror array. The array is programmed either to sample the scene image with a series of harmonically related stripe patterns or the array is partitioned into multiple regions modulated at several different temporal frequencies. The spatial subdivision method proves more effective at tracking slow moving, point-like targets, while the frequency based method is more effective at tracking and maintaining a spatially extended target within a track gate. The two methods have complementary features that have been combined in a hybrid algorithm, that is more effective at acquiring and maintaining track on an erratically moving object than either method individually. The tracking system concepts are introduced and an overall summary of the breadboard and simulation results are presented.
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Seth M. Klein, Rammohan K. Ragade, Robert W. Cohn, "Comparison of frequency-based and spatial subdivision mask sets for passive detection and target tracking with a single photodetector", Proc. SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, 81651A (8 September 2011); doi: 10.1117/12.893917; https://doi.org/10.1117/12.893917
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