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 language | English |
|---|---|
| Title of host publication | 2009 American Control Conference, ACC 2009 |
| Pages | 3423-3428 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2009 Nov 23 |
| Event | 2009 American Control Conference, ACC 2009 - St. Louis, MO, United States Duration: 2009 Jun 10 → 2009 Jun 12 |
Other
| Other | 2009 American Control Conference, ACC 2009 |
|---|---|
| Country | United States |
| City | St. Louis, MO |
| Period | 09/6/10 → 09/6/12 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Fast time-frequency domain reflectometry based on the AR coefficient estimation of a chirp signal
AU - Doo, Seung Ho
AU - Ra, Won Sang
AU - Yoon, Tae Sung
AU - Park, Jin Bae
PY - 2009/11/23
Y1 - 2009/11/23
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70449635297&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449635297&partnerID=8YFLogxK
U2 - 10.1109/ACC.2009.5160315
DO - 10.1109/ACC.2009.5160315
M3 - Conference contribution
AN - SCOPUS:70449635297
SN - 9781424445240
SP - 3423
EP - 3428
BT - 2009 American Control Conference, ACC 2009
ER -