Star trackers are crucial for satellite orientation. Improving their efficiency via reconfigurable COTS HW accommodates NewSpace missions. The current work considers SoC FPGAs to leverage both increased reprogramming and high-performance capabilities. Based on a custom sensor+FPGA system, we develop and optimize the algorithmic chain of star tracking by focusing on the acceleration of the image processing parts. We combine multiple circuit design techniques, such as low-level pipelining, word-length optimization, HW/SW co-processing, and parametric HLS+HDL coding, to fine-tune our implementation on Zynq-7020 FPGA when using real and synthetic input data. Overall, with 4-MPixel images, we achieve more than 24 FPS throughput by accelerating >95% of the computation by 8.9×\documentclass[12pt]{minimal}
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