A Radiation-Hardened Self-Healing CMOS Imager with Online Pixel/Logic Annealing and Tile-Adaptive Compression for Space Applications

📋 论文概要

本文提出一种基于180nm CMOS工艺的太空用自愈成像器，通过本地在线热退火技术同时修复像素和逻辑电路的辐射损伤，并结合自适应感兴趣区域（ROI）无损压缩将下行数据量减少75.5%。实验表明，在20kGy X射线照射后，像素和逻辑泄漏分别降低4.82倍和3.97倍，图像几乎完全恢复，适用于长期连续太空成像。

💡 主要创新点

• 提出像素和逻辑电路的本地在线热退火技术，在芯片工作状态下实时修复辐射引起的泄漏增加和图像退化。
• 实现自适应ROI无损压缩，根据图像内容动态调整压缩策略，在保持关键区域无损的同时大幅减少数据量。
• 将辐射自愈与数据压缩协同集成，解决了太空成像中辐射损伤与带宽限制的双重挑战。

🏷 关键词

📄 原文摘要

Abstract CMOS imagers in space suffer radiation-induced faults and downlink bandwidth limits. This work presents an 180nm self-healing imager with localized online thermal annealing for both pixels and logic, as well as adaptive ROI-lossless compression for 75.5% data reduction. Measurements show 4.82×/3.97× reductions in pixel/logic leakage and nearly full image recovery after 20kGy X-ray exposure, enabling continuous, robust space imaging. CMOS imagers are indispensable in space missions for Earth observation, planetary exploration, and autonomous navigation [1-4]. However, long-duration deployment exposes them to harsh radiation, inducing transient and permanent faults in pixel arrays and logic, which manifest as hot pixels, leakage, and timing errors [3-8], ultimately degrading image

👥 作者与机构

Quan Cheng*1,2, Zhengke Yang*1, Haoyuan Li2, Qiufeng Li1, Zhen Kong1, Gaoqiang Niu1, Yuan Liang1, Jiamin Li1, Jerald Yoo3, Masanori Hashimoto2, Longyang Lin1

Southern University of Science and Technology, Shenzhen, China, 2Kyoto University, Kyoto, Japan, 3Seoul National University, Seoul, Korea *Equally Credited Authors (ECAs) 1