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Huage Hei

at Shanghai Institute of Technical Physics

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SPIE Journal Paper | 8 April 2023

Method of solving single-event upset for heterogeneous dual field programmable logic gate array for infrared remote sensing camera in orbit

Lufang Li, Shuangxi Zhou, Qichao Yu, Huage Hei, Shengli Sun, Changqing Lin

JARS, Vol. 17, Issue 02, 024502, (April 2023) https://doi.org/10.1117/12.10.1117/1.JRS.17.024502

KEYWORDS: Field programmable gate arrays, Infrared cameras, Remote sensing, Infrared sensors, Infrared radiation, Cameras, Logic devices, Infrared imaging, Reconstruction algorithms, Satellites

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On-orbit reconstruction is a hotspot technology in the field of space infrared remote sensing cameras technology. Since the space infrared remote sensing cameras perform detection work under the space radiation environment, the core part of its image processing unit, which is a static random-access memory type field programmable logic gate array (FPGA), is susceptible to the impact of high-energy particles, especially during single-event upset events. The occurrence of point-like granular noise in remote sensing images will affect the normal imaging detection performance of the system, and even lead to abnormal timing of infrared detectors in severe cases, thereby affecting the normal operation of infrared remote sensing cameras. Aiming at the reliability requirements of the normal operation of space infrared remote sensing cameras in the space radiation environment, we propose a modular architecture of heterogeneous dual FPGA for XilinxVirtex-5 series FPGA, which carries out periodic refresh, reconstruction, and uploading of Virtex-5 series FPGA through antifuse FPGA. The antifuse FPGA periodically refreshes and reconstructs the Virtex-5 series FPGA from a one-time programmable read-only memory and injects the program into the program storage NOR flash device, and periodically refreshes and reconstructs the Virtex-5 series FPGA from NOR flash. This method can refresh and reconstruct the space infrared remote sensing camera in orbit. The in-orbit flight data verification shows that this method can effectively solve the impact of single-particle turnover event and improve the reliability of the infrared remote sensing camera in orbit operation.

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