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  5. Structural DMR: A Technique for Implementation of Soft Error Tolerant FIR Filters
 
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Structural DMR: A Technique for Implementation of Soft Error Tolerant FIR Filters

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Author(s)
Reviriego, P. 
Bleakley, Chris J. 
Maestro, J.A. 
Uri
http://hdl.handle.net/10197/7086
Date Issued
August 2011
Date Available
23T15:01:08Z September 2015
Abstract
In this brief, an efficient technique for implementation of soft-error-tolerant finite impulse response (FIR) filters is presented. The proposed technique uses two implementations of the basic filter with different structures operating in parallel. A soft error occurring in either filter causes the outputs of the filters to differ, or mismatch, for at least one sample. The filters are specifically designed so that, when a soft error occurs, they produce distinct error patterns at the filter output. An error detection circuit monitors the basic filter outputs and identifies any mismatches. An error correction circuit determines which filter is in error based on the mismatch pattern and selects the error-free filter result as the output of the overall error-protected system. This technique is referred to as structural dual modular redundancy (DMR) since it enhances traditional DMR to provide error correction, as well as error detection, by means of filter modules with different structures. The proposed technique has been implemented and evaluated. The system achieves a soft error correction rate of close to 100% for isolated single soft errors and has a logic complexity significantly less than that of conventional triple modular redundancy.
Sponsorship
University College Dublin
Other Sponsorship
Spanish Ministry of Science and Education
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Circuits and Systems II: Express Briefs
Volume
58
Issue
8
Start Page
512
End Page
516
Copyright (Published Version)
2011 IEEE
Keywords
  • Dual modular redundan...

  • Filter

  • Finite impulse respon...

  • Soft errors

DOI
10.1109/TCSII.2011.2158750
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
26
Acquisition Date
Feb 5, 2023
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