An Infrared Imaging Pretreatment System was designed based on Xilinx Zynq-7000 Extensible Processing Platform (EPP). Zynq-7000 integrate a dual-core ARM Cortex-A9 based processing system (PS) and programmable logic (PL) in a single device. In this design, PL was developed for IRFPA video signal acquisition, and used VIDEO_IN, VIDEO_OUT, AXI-VDMA IP core to build high speed data channel between PS and PL. PS was developed for Imaging Pretreatment such as Non-uniformity correction, Blind pixels compensation and Image enhancement, using DDR3 for PS’ external memory and PL for Camera Link/PAL video output. It’s optimized for powerful, high real-time, small size, low-power and high reliability, to reach the goal of mass production in work.
KEYWORDS: Target detection, Sensors, Signal to noise ratio, Infrared sensors, Data modeling, Atmospheric modeling, Reflectivity, Aerodynamics, Atmospheric sensing, Signal detection
A blind area occurs when the background in the field of view varying from above-the-horizon to below-the-horizon in
air to air detection of the moving target. Factors that effect on the detection blind area are emphatically analyzed in terms
of the relative distance between sensors and targets and the velocities and altitudes of the targets. A range capability of
IR sensors is modeled and verified by using experiment data, a reasonable result is obtained. At last, some suggestions
that would overcome the problem are given.
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