可靠、低成本的 CCSDS 123 高光谱图像压缩器

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Embedded Systems Letters Pub Date : 2024-07-01 DOI:10.1109/LES.2024.3420934
Wesley Grignani;Douglas A. Santos;Felipe Viel;Luigi Dilillo;Douglas R. Melo
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A Dependable and Low-Cost CCSDS 123 Hyperspectral Image Compressor
One of the most critical challenges in applications that use hyperspectral image (HSI) is the demand for compression, which affects restrictions on the storage capacity and processing in space applications. In addition, these systems that operate in space are susceptible to faults due to adverse conditions and require the implementation of protection techniques to mitigate these faults and ensure correct operation. This letter aimed to implement a fault-tolerant CCSDS 123 HSI compressor using a hardware description language (HDL) and fault-tolerant techniques like triple modular redundancy (TMR) and Hamming error correcting code (ECC). A fault injection campaign verified the reliability of the techniques. Results show that the implementation accelerated the application by $24\times $ compared to the software solution. The standard solution can process 20.57 MSa/s, and the hardened solution can process 13.81 MSa/s using $2.2\times $ more look-up tables (LUTs) and $1.4\times $ more flip-flops (FFs). The low cost observed in the results makes this implementation a suitable solution for application in space systems targeting resource-efficient devices.
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来源期刊
IEEE Embedded Systems Letters
IEEE Embedded Systems Letters Engineering-Control and Systems Engineering
CiteScore
3.30
自引率
0.00%
发文量
65
期刊介绍: The IEEE Embedded Systems Letters (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software. The emphasis is on models, methods, and tools that ensure secure, correct, efficient and robust design of embedded systems and their applications.
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Editorial Table of Contents IEEE Embedded Systems Letters Publication Information Corrections to “FDPFS: Leveraging File System Abstraction for FDP SSD Data Placement” Table of Contents
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