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Paper Abstract and Keywords
Presentation 2023-11-24 13:00
Detection Sensitivity Improvement by Removing Reflected Pulse Influence from a Bus Type Network Branch in Sequence Time Domain Reflectometry
Takashi Kakiuchi, Kengo iokibe, Yoshitaka Toyota (Okayama Univ) EMCJ2023-73
Abstract (in Japanese) (See Japanese page) 
(in English) Using the fact that cross-correlation between transmitted and reflected pulses in Sequence Time Domain Reflectometry can reduce the influence of background noise, we have studied anomaly detection in a bus type network. In Sequence Time Domain Reflectometry, the absolute value of cross-correlation is increased by decreasing the symbol length Tc of transmitted pulses, i.e., the detection sensitivity is improved. However, in a bus type network consisting of lines with the same characteristic impedance, when the transmitted pulse crosses a branch, not only is its amplitude reduced to 2/3, but also the amplitude of the reflected pulse returning from the branch to the transmitter is also reduced to 1/3. Therefore, the amplitude of the reflected pulses from an anomaly on the other side of the branch is relatively smaller than that of the reflected pulses from the branch, which is a problem of reducing the sensitivity of anomaly detection. We have considered the sensitivity improvement of anomaly detection by taking the difference of time waveforms of reflected pulses in normal and anomaly conditions and removing the effect of reflected pulses generated at the branch, focusing on the fact that reflected pulses returning from the branch are the same regardless of the presence or absence of an anomaly before reaching the anomaly. When a 20 pF capacitive anomaly exists on a line with a characteristic impedance of 120 Ω, the sensitivity of anomaly detection beyond the second branch increased from 0.10 to 0.53 by applying Sequence Time Domain Reflectometry with a series length K = 63 and a symbol length Tc = 10 ns. Furthermore, it is shown that the sensitivity of anomaly detection can be improved even in the presence of noise.
Keyword (in Japanese) (See Japanese page) 
(in English) Sequence Time Domain Reflectometry / Bus type network / Cross-correlation / Anomaly detection / Detection sensitivity improvement / Difference of reflected pulses / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 283, EMCJ2023-73, pp. 7-12, Nov. 2023.
Paper # EMCJ2023-73 
Date of Issue 2023-11-17 (EMCJ) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee EMCJ  
Conference Date 2023-11-24 - 2023-11-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Young Scientist Meeting 
Paper Information
Registration To EMCJ 
Conference Code 2023-11-EMCJ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection Sensitivity Improvement by Removing Reflected Pulse Influence from a Bus Type Network Branch in Sequence Time Domain Reflectometry 
Sub Title (in English)  
Keyword(1) Sequence Time Domain Reflectometry  
Keyword(2) Bus type network  
Keyword(3) Cross-correlation  
Keyword(4) Anomaly detection  
Keyword(5) Detection sensitivity improvement  
Keyword(6) Difference of reflected pulses  
Keyword(7)  
Keyword(8)  
1st Author's Name Takashi Kakiuchi  
1st Author's Affiliation Okayama University (Okayama Univ)
2nd Author's Name Kengo iokibe  
2nd Author's Affiliation Okayama University (Okayama Univ)
3rd Author's Name Yoshitaka Toyota  
3rd Author's Affiliation Okayama University (Okayama Univ)
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Speaker Author-1 
Date Time 2023-11-24 13:00:00 
Presentation Time 25 minutes 
Registration for EMCJ 
Paper # EMCJ2023-73 
Volume (vol) vol.123 
Number (no) no.283 
Page pp.7-12 
#Pages 6 
Date of Issue 2023-11-17 (EMCJ) 

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