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宇航用处理器发展与展望

年嘉伟 王旭茹 刘鸿瑾 房方 杨孟飞

年嘉伟, 王旭茹, 刘鸿瑾, 房方, 杨孟飞. 宇航用处理器发展与展望. 自动化学报, 2026, 52(8): 1645−1658 doi: 10.16383/j.aas.c250393
引用本文: 年嘉伟, 王旭茹, 刘鸿瑾, 房方, 杨孟飞. 宇航用处理器发展与展望. 自动化学报, 2026, 52(8): 1645−1658 doi: 10.16383/j.aas.c250393
Nian Jia-Wei, Wang Xu-Ru, Liu Hong-Jin, Fang Fang, Yang Meng-Fei. Development and prospects of aerospace processors. Acta Automatica Sinica, 2026, 52(8): 1645−1658 doi: 10.16383/j.aas.c250393
Citation: Nian Jia-Wei, Wang Xu-Ru, Liu Hong-Jin, Fang Fang, Yang Meng-Fei. Development and prospects of aerospace processors. Acta Automatica Sinica, 2026, 52(8): 1645−1658 doi: 10.16383/j.aas.c250393

宇航用处理器发展与展望

doi: 10.16383/j.aas.c250393 cstr: 32138.14.j.aas.c250393
基金项目: 空间可信计算与电子信息技术实验室开放基金课题(OBCand-ETL-2025-01(2)), 中央高校面上项目(2025MS028)资助
详细信息
    作者简介:

    年嘉伟:华北电力大学控制与计算机工程学院讲师. 2018年获得华北电力大学控制与计算机工程学院学士学位, 2024年获得西安电子科技大学计算机科学与技术学院博士学位. 主要研究方向为宇航用处理器架构与容错设计. E-mail: jwnian@ncepu.edu.cn

    王旭茹:北京控制工程研究所硕士研究生. 2019年获得西安电子科技大学学士学位. 主要研究方向为宇航用处理器架构与容错设计. 本文通信作者. E-mail: wangxr0321@163.com

    刘鸿瑾:北京控制工程研究所研究员. 2008年获得中国科学院研究生院博士学位. 主要研究方向为机载计算机设计, 卫星集成电子系统设计以及基于 SoC 和 SiP 的微电子系统. E-mail: liuhongjin2020@126.com

    房方:华北电力大学控制与计算机工程学院教授. 主要研究方向为处理器架构设计, 故障检测. E-mail: ffang@ncepu.edu.cn

    杨孟飞:中国科学院院士, 中国空间技术研究院研究员. 主要研究方向为容错设计, 架构设计, 操作系统, 形式化验证和人工智能

Development and Prospects of Aerospace Processors

Funds: Supported by the Open Fund Project of the Space Trustworthy Computing and Electronic Information Technology Laboratory (OBCandETL-2025-01(2)) and the Central University General Project (2025MS028)
More Information
    Author Bio:

    NIAN Jia-Wei Lecturer at the School of Control and Computer Engineering, North China Electric Power University. He received his bachelor degree from the School of Control and Computer Engineering, North China Electric Power University in 2018, and Ph.D. degree from the School of Computer Science and Technology, Xidian University in 2024. His research interests include aerospace processor architecture and fault-tolerant design

    WANG Xu-Ru   Master student at the Beijing Institute of Control Engineering. She received her bachelor degree from Xidian University in 2019. Her research interests include aerospace processor architecture and fault-tolerant design. Corresponding author of this paper

    LIU Hong-Jin Researcher at the Beijing Institute of Control Engineering. He received his Ph.D. degree from the Graduate University of the Chinese Academy of Sciences in 2008. His research interests include airborne computer design, satellite integrated electronic system design, and microelectronic systems based on SoC and SiP

    FANG Fang Professor at the School of Control and Computer Engineering, North China Electric Power University. His research interests include processor architecture design and fault detection

    YANG Meng-Fei Academician at the Chinese Academy of Sciences, professor at the China Academy of Space Technology. His research interests include fault-tolerant design, architecture design, operating systems, formal verification, and artificial intelligence

  • 摘要: 本文系统地回顾了美国、欧洲及我国在宇航用处理器领域的技术演进, 重点分析基于PowerPC架构的美国代表性处理器产品以及采用SPARC架构的欧洲与我国典型处理器方案. 研究揭示, 未来宇航用处理器的发展将显著分化为通用型与智能型两大技术路线. 通用型宇航用处理器将呈现高性能(如提升多核并行计算能力)、高集成度(如实现系统级芯片)、高可靠性(如强化抗辐照设计)及低功耗的协同发展趋势, 而智能型处理器将侧重于提升在轨实时智能信息处理能力.
  • 图  1  RAD750 架构

    Fig.  1  Architecture of RAD750

    图  2  RAD5545 架构

    Fig.  2  Architecture of RAD5545

    图  3  TSC695F 架构

    Fig.  3  Architecture of TSC695F

    图  4  AT697F 架构

    Fig.  4  Architecture of AT697F

    图  5  GR740 架构

    Fig.  5  Architecture of GR740

    图  6  NOEL-V 架构

    Fig.  6  Architecture of NOEL-V

    图  7  SoC2008 架构

    Fig.  7  Architecture of SoC2008

    图  8  SoC2012 架构

    Fig.  8  Architecture of SoC2012

    图  9  BM3803FMGRH 架构

    Fig.  9  Architecture of BM3803FMGRH

    图  10  美国、欧洲以及我国宇航用处理器发展历程

    Fig.  10  The development history of aerospace processors in the U.S., Europe and China

    表  1  美国宇航用处理器各指标对比

    Table  1  Comparison of various indicators of U.S. aerospace processors

    处理器 架构 内核 主频(MHz) 核心数量 位数 TID
    (rad (Si))
    SEU
    (错误/(位·天))
    SEL
    (MeV·cm2/mg)
    性能 功耗 (W)
    RAD6000 PowerPC RS-6000 33 1 32 $ \leq 7.4\times 10^{-10}$ 35 MIPS
    RAD750 PowerPC 750 132 ~ 233 1 32 1 M $ \leq 1.6\times 10^{-10}$ 200 ~ 400 MIPS 5.0
    RAD5510 Power e5500 466 1 64 1 M $ \leq 8.0\times 10^{-14} $ 1.4 GOPS 11.5
    RAD5545 Power e5500 466 4 64 1 M $\leq 2.0\times 10^{-9}$ 4.6 GOPS 17.7
    下载: 导出CSV

    表  2  欧洲宇航用处理器各指标对比

    Table  2  Comparison of various indicators of European aerospace processors

    处理器 架构 主频
    (MHz)
    内核 核心
    数量
    流水线 位数 性能
    (DMIPS/MHz)
    TID
    (rad (Si))
    SEU
    (错误/(器件·天))
    SEL
    (MeV·cm2/mg)
    功耗
    (W)
    工艺
    (nm)
    MA31750 25 1 $ \geq 300\;{\mathrm{K}} $ $ \leq 6\times 10^{-7} $ —  — 
    TSC695F SPARC V7 25 ERC32 1 32 0.80 $ \geq 300\;{\mathrm{K}} $ $ \leq 3\times 10^{-8} $ $ \geq 100 $ $ \leq 1.5 $ 500 (MG2RT)
    AT697F SPARC V8 100 LEON2 1 32 0.86 $ \geq 300\;{\mathrm{K}} $ $ \leq 1\times 10^{-5} $ $ \geq 70 $ $ \leq 1.0 $ 180 (CMOS)
    GR740 SPARC V8 250 LEON4-FT 4 32 1.70 $ \geq 300\;{\mathrm{K}} $ $ \leq 1\times 10^{-5} $ $ \geq 125 $ $\leq 1.8 $ 65 (CMOS)
    NOEL-V RISC-V 4 64 —  — 
    下载: 导出CSV

    表  3  龙芯系列产品架构指标

    Table  3  Loongson series product architecture indicators

    处理器 架构 L1 Cache L2 Cache 核心数量 主频(Hz) 内存接口 SpaceWire MIL-STD-1553B PCI UART $ \text{I}^{2}\text{C} $ SPI
    1J MIPS 1 10 M
    1F04 MIPS 1 33 M SRAM
    1F300 MIPS 1 100 M SRAM、SDRAM
    1E03 MIPS 8 K + 8 K 1 100 M SDRAM
    1E300 MIPS 16 K + 16 K 1 200 M SDRAM
    1E1000 MIPS 32 K + 32 K 1 M 2 1 G DDR2/3
    下载: 导出CSV

    表  4  我国宇航用处理器各指标对比

    Table  4  Comparison of various indicators of China's aerospace processors

    处理器 架构 主频
    (MHz)
    核心数量 流水线 性能
    (DMIPS/MHz)
    TID
    (rad (Si))
    SEU
    (错误/ (器件·天))
    SEL
    (MeV·cm2/mg)
    功耗(W) 工艺(nm)
    SoC2008 SPARC V8 100 1 0.86 $ \geq $ 100 K $ \leq 1.0\times 10^{-7} $ $ \geq $ 100 $ \leq $ 0.7 130 (CMOS)
    SoC2012 SPARC V8 100 4 3.00 $ \geq $ 200 K $ \leq 3.0\times 10^{-8} $ $ \geq $ 100 $ \leq $ 1.0 130 (CMOS)
    BM3803FMGRH SPARC V8 100 1 0.85 $ \geq $ 100 K $ \leq 8.0\times 10^{-5} $ $ \geq $ 75 $ \leq $ 1.0
    LS1E MIPS 200 1 $ \geq $ 300 K $ \leq 6.5\times 10^{-5 }$ $ \geq $ 75 $ \leq $ 3.0 180 (CMOS)
    LS1F MIPS 100 1 $ \geq $ 100 K $ \leq 1.0\times 10^{-5} $ $ \geq $ 75 $ \leq $ 3.0 180 (CMOS)
    下载: 导出CSV
  • [1] 袁利, 姜甜甜, 魏春岭, 杨孟飞. 空间控制技术发展与展望. 自动化学报, 2023, 49(3): 476−493 doi: 10.16383/j.aas.c220792

    Yuan Li, Jiang Tian-Tian, Wei Chun-Ling, Yang Meng-Fei. Advances and perspectives of space control technology. Acta Automatica Sinica, 2023, 49(3): 476−493 doi: 10.16383/j.aas.c220792
    [2] 杜永浩, 邢立宁, 姚锋, 陈盈果. 航天器任务调度模型、算法与通用求解技术综述. 自动化学报, 2021, 47(12): 2715−2741 doi: 10.16383/j.aas.c190656

    Du Yong-Hao, Xing Li-Ning, Yao Feng, Chen Ying-Guo. Survey on models, algorithms and general techniques for spacecraft mission scheduling. Acta Automatica Sinica, 2021, 47(12): 2715−2741 doi: 10.16383/j.aas.c190656
    [3] Marshall J R, Robertson J. An embedded microcontroller for spacecraft applications. In: Proceedings of the IEEE Aerospace Conference. Big Sky, USA: IEEE, 2006. 1−9
    [4] RAD750 radiation-hardened PowerPC microprocessor [Online], available: https://www.baesystems.com/en/article/gps-iii-satellite-launches-with-rad750--single-board-computers, August 17, 2026
    [5] RAD6000TM space computers [Online], available: https://foro.sondasespaciales.com/index.php?action=dlattach;topic=5280.0;attach=334, August 17, 2026
    [6] 覃辉, 于立新. 宇航处理器技术发展趋势和特点. 见: 第六届航天电子战略研究论坛论文集. 北京, 中国: 中国航天电子技术研究院科学技术委员会, 2019. 54−58

    Qin Hui, Yu Li-Xin. Development trends and characteristics of aerospace processor technology. In: Proceedings of the 6th Aerospace Electronics Strategy Research Forum Papers. Beijing, China: Science and Technology Committee of China Academy of Aerospace Electronics Technology, 2019. 54−58
    [7] RAD5510 single-core system-on-chip power architecture processor [Online], available: https://satsearch.co/products/bae-systems-rad5510-single-core, December 2, 2025
    [8] RAD5545 multi-core system-on-chip power architecture processor [Online], available: https://satsearch.co/products/bae-systems-rad5545-multi-core-system, December 2, 2025
    [9] Schwaller B, Holtzman S, George A D. Emulation-based performance studies on the HPSC space processor. In: Proceedings of the IEEE Aerospace Conference. Big Sky, USA: IEEE, 2019. 1−11
    [10] Guertin S M, Some R, Nsengiyumva P, Cannon E H, Cabanas-Holmen M, Ballast J. Radiation specification and testing of heterogenous microprocessor SOCs. In: Proceedings of the 19th European Conference on Radiation and Its Effects on Components and Systems (RADECS). Montpellier, France: IEEE, 2019. 1−7
    [11] Gaisler J. LEON SPARC Processor the Past, Present and Future. Berkeley: RAMP Winter Retreat, 2007.
    [12] Microchip. Rad-hard 32-bit SPARC embedded processor-TSC695F Rev 4118J-AERO-08/04 [Online], available: https://www.microchip.com/wwwproducts/en/TSC695F, December 2, 2025
    [13] Atmel Corporation. TSC695F SPARC 32-bit space processor user manual [Online], available: https://ww1.microchip.com/downloads/en/DeviceDoc, December 2, 2025
    [14] Microchip. Rad-hard 32-bit SPARC V8 processor. Rev. 7703E-AERO-08/11 [Online], available: https://www.microchip.com/wwwproducts/en/AT697F, December 2, 2025
    [15] Atmel Corporation. Rad-hard 32-bit SPARC V8 processor AT697E user manual [Online], available: https://www.alldatasheet.com, December 2, 2025
    [16] Cobham Gaisler AB. GR712RC dual-core LEON3FT SPARC V8 processor data sheet [Online], available: https://download.gaisler.com/products/gr712rc/doc/gr712rc-, December 2, 2025
    [17] Tambara L A, Hernandez F, Sturesson F, Hjorth M, Andersson J, Weigand R. Single event effect characterization of the GR740 rad-hard quad-core LEON4FT system-on-chip. In: Proceedings of the 19th European Conference on Radiation and Its Effects on Components and Systems (RADECS). Montpellier, France: IEEE, 2019. 1−6
    [18] COBHAM. GR740 radiation summary [Online], available: https://www.gaisler.com.2019, December 2, 2025
    [19] Andersson J, Hjorth M, Johansson F, Habinc S. LEON processor devices for space missions: First 20 years of LEON in space. In: Proceedings of the 6th International Conference on Space Mission Challenges for Information Technology (SMC-IT). Madrid, Spain: IEEE, 2017. 136−141
    [20] Andersson J. Development of a NOEL-V RISC-V SoC targeting space applications. In: Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W). Valencia, Spain: IEEE, 2020. 66−67
    [21] Jonsson J, Toselli M. White-Box Verification of a RISC-V Processor: NOEL-V [Master thesis], University of Gothenburg, Sweden, 2022.
    [22] Wessman N J, Malatesta F, Andersson J, Gomez P, Masmano M, Nicolau V, et al. De-RISC: The first RISC-V space-grade platform for safety-critical systems. In: Proceedings of the IEEE Space Computing Conference (SCC). Laurel, USA: IEEE, 2021. 17−26
    [23] Li Y, Zhu X Y, Zhang W G, Wang C L, Deng Z. Design and verification of CPU for teaching based on SPARC V8. In: Proceedings of the 4th International Conference on Intelligent Systems Design and Engineering Applications. Zhangjiajie, China: IEEE, 2013. 236−240
    [24] 北京控制工程研究所. SoC2008型32位片上系统芯片用户手册. V3.0, 2013.

    Beijing Institute of Control Engineering. User Manual for SoC2008 32-bit System on Chip V3.0, 2013.
    [25] 北京控制工程研究所. 四核SoC2012型32位片上系统芯片用户手册. V1.0, 2013.

    Beijing Institute of Control Engineering. User Manual for Quad Core SoC2012 32-bit System on Chip V1.0, 2013.
    [26] 北京微电子技术研究所. BM3803FMGRH产品使用手册.

    Beijing Microelectronics Technology Institute. BM3803FMGRH Product Manual.
    [27] 龙芯中科技术有限公司. 国产化自主安全−龙芯抗辐照芯片技术白皮书, 2018.

    Loongson Technology Corporation Limited. Domestic Independent Safety-White Paper on Radiation Resistant Chip Technology of Loongson, 2018.
    [28] 徐帅, 林宝军, 刘迎春, 赵帅. 基于龙芯宇航级芯片的BSP开发和移植. 计算机工程与科学, 2020, 42(4): 571−579 doi: 10.3969/j.issn.1007-130X.2020.04.001

    Xu Shuai, Lin Bao-Jun, Liu Ying-Chun, Zhao Shuai. Development and transplantation of BSP based on Godson aerospace chip. Computer Engineering & Science, 2020, 42(4): 571−579 doi: 10.3969/j.issn.1007-130X.2020.04.001
    [29] 王瑛, 严涛, 王磊. 空间智能导航技术发展现状与趋势分析. 空间控制技术与应用, 2022, 48(5): 9−17 doi: 10.3969/j.issn.1674-1579.2022.05.002

    Wang Ying, Yan Tao, Wang Lei. Development situation and trend of space intelligent navigation technology. Aerospace Control and Application, 2022, 48(5): 9−17 doi: 10.3969/j.issn.1674-1579.2022.05.002
    [30] Patterson D, Waterman A. The RISC-V Reader: An Open Architecture Atlas. Strawberry Canyon, 2017.
    [31] Di Mascio S, Menicucci A, Gill E, Furano G, Monteleone C. Leveraging the openness and modularity of RISC-V in space. Journal of Aerospace Information Systems, 2019, 16(11): 454−472 doi: 10.2514/1.I010735
    [32] 孙川川, 高瑛珂, 李圣龙, 赵云富, 梁贤赓. 面向宇航应用的高可靠SoC异常处理系统设计. 空间控制技术与应用, 2020, 46(3): 78−82

    Sun Chuan-Chuan, Gao Ying-Ke, Li Sheng-Long, Zhao Yun-Fu, Liang Xian-Geng. Design of exception handling system for high reliable system-on-chip for aerospace applications. Aerospace Control and Application, 2020, 46(3): 78−82
    [33] 魏肖彤, 许浩博, 尹春笛, 黄俊培, 孙文昊, 徐文浚, 等. 天基计算芯片: 现状、趋势与关键技术. 电子与信息学报, 2025, 47(9): 2963−2978 doi: 10.11999/JEIT250633

    Wei Xiao-Tong, Xu Hao-Bo, Yin Chun-Di, Huang Jun-Pei, Sun Wen-Hao, Xu Wen-Jun, et al. Space-based computing chips: Current status, trends and key technique. Journal of Electronics & Information Technology, 2025, 47(9): 2963−2978 doi: 10.11999/JEIT250633
    [34] Lüdtke D, Firchau T, Cortes C G, Lund A, Nepal A M, Elbarrawy M M, et al. ScOSA on the way to orbit: Reconfigurable high-performance computing for spacecraft. In: Proceedings of the IEEE Space Computing Conference (SCC). Pasadena, USA: IEEE, 2023. 34−44
    [35] Li L, He J W, Xu D X, Chen W, Yu J P, Li H W. Design of high-performance and general-purpose satellite management unit based on rad-hard multi-core SoC and linux. Aerospace, 2023, 10(2): Article No. 201 doi: 10.3390/aerospace10020201
    [36] Hennessy J L, Patterson D A. A new golden age for computer architecture. Communications of the ACM, 2019, 62(2): 48−60 doi: 10.1145/3282307
    [37] Leon V, Lentaris G, Petrongonas E, Soudris D, Furano G, Tavoularis A, et al. Improving performance-power-programmability in space avionics with edge devices: VBN on Myriad2 SoC. ACM Transactions on Embedded Computing Systems (TECS), 2021, 20(3): Article No. 22 doi: 10.1145/3440885
    [38] Perryman N, Franconi N, Crum G, Wilson C, George A D. SpaceCube GHOST: A resilient processor for low-power, high-reliability space computing. In: Proceedings of the IEEE Aerospace Conference. Big Sky, USA: IEEE, 2024. 1−11
    [39] 李韶光, 刘雷, 郎金鹏, 王建国. CPU发展概述及国产化之路. 网络空间安全, 2020, 11(4): 114−117 doi: 10.3969/j.issn.1674-9456.2020.04.019

    Li Shao-Guang, Liu Lei, Lang Jin-Peng, Wang Jian-Guo. CPU development overview and road to localization. Cyberspace Security, 2020, 11(4): 114−117 doi: 10.3969/j.issn.1674-9456.2020.04.019
    [40] Di Mascio S, Menicucci A, Gill E, Furano G, Monteleone C. Open-source IP cores for space: A processor-level perspective on soft errors in the RISC-V era. Computer Science Review, 2021, 39: Article No. 100349 doi: 10.1016/j.cosrev.2020.100349
    [41] Liu B, Yang M F, Wang Y, Yuan L, Liu C W, Xu J, et al. A lightweight data-voting strategy for triple-modular redundant control computers. Science China Technological Sciences, 2022, 65(2): 419−431 doi: 10.1007/s11431-021-1928-0
    [42] Liang Z N, Nian J W, Liu H J, Wang X R, Yang M F. C-DMR: A cache-based fault-tolerant protection method for register file. The Journal of Supercomputing, 2023, 79(4): 4383−4397 doi: 10.1007/s11227-022-04836-2
    [43] Alcaide S, Kosmidis L, Hernandez C, Abella J. Achieving diverse redundancy for GPU kernels. IEEE Transactions on Emerging Topics in Computing, 2022, 10(2): 618−634 doi: 10.1109/tetc.2021.3101922
    [44] Venkatesha S, Parthasarathi R. Survey on redundancy based-fault tolerance methods for processors and hardware accelerators-trends in quantum computing, heterogeneous systems and reliability. ACM Computing Surveys, 2024, 56(11): Article No. 275 doi: 10.1145/3663672
    [45] 虞志刚, 冯旭, 陆洲, 高吉星, 丁文慧. 宇航用处理器发展现状与趋势. 天地一体化信息网络, 2023, 4(1): 50−58 doi: 10.11959/j.issn.2096-8930.2023006

    Yu Zhi-Gang, Feng Xu, Lu Zhou, Gao Ji-Xing, Ding Wen-Hui. Development status and trends of space processor. Space-Integrated-Ground Information Networks, 2023, 4(1): 50−58 doi: 10.11959/j.issn.2096-8930.2023006
    [46] Xie R C, Tang Q Q, Wang Q N, Liu X, Yu F R, Huang T. Satellite-terrestrial integrated edge computing networks: Architecture, challenges, and open issues. IEEE Network, 2020, 34(3): 224−231 doi: 10.1109/MNET.011.1900369
    [47] Hu Y X, Liu Y H, Liu Z Y. A survey on convolutional neural network accelerators: GPU, FPGA and ASIC. In: Proceedings of the 14th International Conference on Computer Research and Development (ICCRD). Shenzhen, China: IEEE, 2022. 100−107
    [48] 朱海涛. AI芯片的应用与发展趋势. 中国安全防范技术与应用, 2019(5): 44−49

    Zhu Hai-Tao. Application and development trend of AI chip. China Security Protection Technology and Application, 2019(5): 44−49
    [49] 汪春霆, 翟立君, 徐晓帆. 天地一体化信息网络发展与展望. 无线电通信技术, 2020, 46(5): 493−504 doi: 10.3969/j.issn.1003-3114.2020.05.001

    Wang Chun-Ting, Zhai Li-Jun, Xu Xiao-Fan. Development and prospects of space-terrestrial integrated information network. Radio Communications Technology, 2020, 46(5): 493−504 doi: 10.3969/j.issn.1003-3114.2020.05.001
    [50] Wu Q, Shen Y F, Zhang M Q. Heterogeneous computing and applications in deep learning: A survey. In: Proceedings of the 5th International Conference on Computer Science and Software Engineering. Guilin, China: Association for Computing Machinery, 2022. 383−387
    [51] Vandame P, Noé A, Čech J, Apostol L, Prieur C, McNamara K, et al. Assessing the potential of Qormino processor for embedded AI on board a CubeSat. IEEE Journal on Miniaturization for Air and Space Systems, 2022, 3(3): 121−128 doi: 10.1109/JMASS.2022.3202438
    [52] Furano G, Di Mascio S, Menicucci A, Monteleone C. A European roadmap to leverage RISC-V in space applications. In: Proceedings of the IEEE Aerospace Conference (AERO). Big Sky, USA: IEEE, 2022. 1−7
    [53] Mezger B W, Santos D A, Dilillo L, Zeferino C A, Melo D R. A survey of the RISC-V architecture software support. IEEE Access, 2022, 10: 51394−51411 doi: 10.1109/ACCESS.2022.3174125
    [54] Cappellone D, Di Mascio S, Furano G, Menicucci A, Ottavi M. On-board satellite telemetry forecasting with RNN on RISC-V based multicore processor. In: Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT). Frascati, Italy: IEEE, 2020. 1−6
    [55] Liu Y Q, Han Y H, Li H X, Gu S H, Qiu J B, Li T. Computing over space: Status, challenges, and opportunities. Engineering, 2025, 54: 20−25 doi: 10.1016/j.eng.2025.06.005
    [56] Yin Z S, Wu C H, Guo C B, Li Y C, Xu M W, Gao W W, et al. A comprehensive survey of orbital edge computing: Systems, applications, and algorithms. Chinese Journal of Aeronautics, 2025, 38(7): Article No. 103316 doi: 10.1016/j.cja.2024.11.026
    [57] Dunkel E R, Swope J, Candela A, West L, Chien S A, Towfic Z, et al. Benchmarking deep learning models on myriad and snapdragon processors for space applications. Journal of Aerospace Information Systems, 2023, 20(10): 660−674 doi: 10.2514/1.I011216
    [58] 于志成, 庄树峰, 刘涛, 王洋, 杨秉新. 面向航天应用的高可靠性FPGA动态局部重构. 航天返回与遥感, 2019, 40(3): 40−46 doi: 10.3969/j.issn.1009-8518.2019.03.006

    Yu Zhi-Cheng, Zhuang Shu-Feng, Liu Tao, Wang Yang, Yang Bing-Xin. High reliability FPGA dynamic partial reconfiguration for aerospace application. Spacecraft Recovery & Remote Sensing, 2019, 40(3): 40−46 doi: 10.3969/j.issn.1009-8518.2019.03.006
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出版历程
  • 收稿日期:  2025-08-18
  • 录用日期:  2026-01-29
  • 网络出版日期:  2026-03-10
  • 刊出日期:  2026-08-20

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