Adaptive RLS filtering for the reduction of blind spot in a cable fault locator

Chun Ku Lee, Ki Seok Kwak, Tae Sung Yoon, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

A cable fault locator based on a reflectometry is used to test the integrity of a cable. It is well known that all the reflectometries have an inherited drawback known as a blind spot that indicates the minimum length of the cable that can be measured. This paper proposes a method based on an adaptive recursive least squares filtering and a normalized cross correlation to reduce the blind spot. The experimental results show that the proposed method can estimate a fault location on the cable with high spatial resolution.

Original languageEnglish
Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
Pages637-640
Number of pages4
Publication statusPublished - 2010
EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
Duration: 2010 Oct 27 → 2010 Oct 30

Publication series

NameICCAS 2010 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2010
CountryKorea, Republic of
CityGyeonggi-do
Period10/10/27 → 10/10/30

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

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