Error Detection and Correction On-Board Nanosatellites Using Hamming Codes

Joint Authors

Balyan, Vipin
Hillier, Caleb

Source

Journal of Electrical and Computer Engineering

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-02-10

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Information Technology and Computer Science

Abstract EN

The field of nanosatellites is constantly evolving and growing at a very fast speed.

This creates a growing demand for more advanced and reliable EDAC systems that are capable of protecting all memory aspects of satellites.

The Hamming code was identified as a suitable EDAC scheme for the prevention of single event effects on-board a nanosatellite in LEO.

In this paper, three variations of Hamming codes are tested both in Matlab and VHDL.

The most effective version was Hamming [16, 11, 4]2.

This code guarantees single-error correction and double-error detection.

All developed Hamming codes are suited for FPGA implementation, for which they are tested thoroughly using simulation software and optimized.

American Psychological Association (APA)

Hillier, Caleb& Balyan, Vipin. 2019. Error Detection and Correction On-Board Nanosatellites Using Hamming Codes. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1173705

Modern Language Association (MLA)

Hillier, Caleb& Balyan, Vipin. Error Detection and Correction On-Board Nanosatellites Using Hamming Codes. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1173705

American Medical Association (AMA)

Hillier, Caleb& Balyan, Vipin. Error Detection and Correction On-Board Nanosatellites Using Hamming Codes. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1173705

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1173705