Fast time-frequency domain reflectometry based on the AR coefficient estimation of a chirp signal

Seung Ho Doo, Won Sang Ra, Tae Sung Yoon, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

In this paper, a novel reflectometry, which is characterized by a simple autoregressive(AR) modeling of a chirp signal and an weighted robust least squares(WRLS) AR coefficient estimator, is proposed. In spite of its superior fault detection performance over the conventional reflectometries, the recently developed time-frequency domain reflectometry( TFDR) might not be suitable for real-time implementation because it requires heavy computational burden. In order to solve this critical limitation, in our method, the time-frequency analysis is performed based on the estimated time-varying AR coefficient of a chirp signal. To do this, a new chirp signal model which contains a sigle time-varying AR coefficient is suggested. In addition, to ensure the noise insensitivity, the WRLS estimator is used to estimate the time-varying AR coefficient. As a result, the proposed reflectometry method can drastically reduce the computational complexity and provide the satisfactory fault detection performance even in noisy environments. To evaluate the fault detection performance of the proposed method, simulations and experiments are carried out. The results demonstrate that the proposed algorithm could be an excellent choice for the real-time reflectometry.

Original languageEnglish
Title of host publication2009 American Control Conference, ACC 2009
Pages3423-3428
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 23
Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
Duration: 2009 Jun 102009 Jun 12

Other

Other2009 American Control Conference, ACC 2009
CountryUnited States
CitySt. Louis, MO
Period09/6/1009/6/12

Fingerprint

Fault detection
Computational complexity
Experiments

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Doo, S. H., Ra, W. S., Yoon, T. S., & Park, J. B. (2009). Fast time-frequency domain reflectometry based on the AR coefficient estimation of a chirp signal. In 2009 American Control Conference, ACC 2009 (pp. 3423-3428). [5160315] https://doi.org/10.1109/ACC.2009.5160315
Doo, Seung Ho ; Ra, Won Sang ; Yoon, Tae Sung ; Park, Jin Bae. / Fast time-frequency domain reflectometry based on the AR coefficient estimation of a chirp signal. 2009 American Control Conference, ACC 2009. 2009. pp. 3423-3428
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Doo, SH, Ra, WS, Yoon, TS & Park, JB 2009, Fast time-frequency domain reflectometry based on the AR coefficient estimation of a chirp signal. in 2009 American Control Conference, ACC 2009., 5160315, pp. 3423-3428, 2009 American Control Conference, ACC 2009, St. Louis, MO, United States, 09/6/10. https://doi.org/10.1109/ACC.2009.5160315

Fast time-frequency domain reflectometry based on the AR coefficient estimation of a chirp signal. / Doo, Seung Ho; Ra, Won Sang; Yoon, Tae Sung; Park, Jin Bae.

2009 American Control Conference, ACC 2009. 2009. p. 3423-3428 5160315.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Doo SH, Ra WS, Yoon TS, Park JB. Fast time-frequency domain reflectometry based on the AR coefficient estimation of a chirp signal. In 2009 American Control Conference, ACC 2009. 2009. p. 3423-3428. 5160315 https://doi.org/10.1109/ACC.2009.5160315