Abstract
In this study, the authors propose a blind spot reduction method in wavelet transform-based time-frequency domain reflectometry (WTFDR) by using the Gaussian chirp as the mother wavelet. The blind spot is one of the intrinsic weak points in reflectometry and it means the overlapping ranges of the reference and the reflected signals when the fault is generated at a close distance. Owing to the blind spot, it is difficult to localise the close range fault. Thus, many researchers study the blind spot which is generated in various cables such as electric cable in flight, network cable and power cable. In this study, two methods are used to reduce the blind spot. Firstly, by using the linearity of a complex wavelet transform, the overlapped reference signal at the measured signal is separated and the blind spot is reduced by obtaining the difference of the moduli of the wavelet coefficients for the reference and the reflected signals. Secondly, by using the Gaussian chirp as the mother wavelet, which is designed by considering the characteristics of the cable, the wavelet analysis and the resolution of the WTFDR are improved. Finally, the computer simulations and the real experiments are performed to confirm the effectiveness and the accuracy of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 703-709 |
| Number of pages | 7 |
| Journal | IET Signal Processing |
| Volume | 8 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
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Blind spot reduction in wavelet transform-based time-frequency domain reflectometry using Gaussian chirp as mother wavelet. / Lee, Sin Ho; Park, Jin Bae; Choi, Yoon Ho.
In: IET Signal Processing, Vol. 8, No. 7, 01.01.2014, p. 703-709.Research output: Contribution to journal › Article
TY - JOUR
T1 - Blind spot reduction in wavelet transform-based time-frequency domain reflectometry using Gaussian chirp as mother wavelet
AU - Lee, Sin Ho
AU - Park, Jin Bae
AU - Choi, Yoon Ho
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this study, the authors propose a blind spot reduction method in wavelet transform-based time-frequency domain reflectometry (WTFDR) by using the Gaussian chirp as the mother wavelet. The blind spot is one of the intrinsic weak points in reflectometry and it means the overlapping ranges of the reference and the reflected signals when the fault is generated at a close distance. Owing to the blind spot, it is difficult to localise the close range fault. Thus, many researchers study the blind spot which is generated in various cables such as electric cable in flight, network cable and power cable. In this study, two methods are used to reduce the blind spot. Firstly, by using the linearity of a complex wavelet transform, the overlapped reference signal at the measured signal is separated and the blind spot is reduced by obtaining the difference of the moduli of the wavelet coefficients for the reference and the reflected signals. Secondly, by using the Gaussian chirp as the mother wavelet, which is designed by considering the characteristics of the cable, the wavelet analysis and the resolution of the WTFDR are improved. Finally, the computer simulations and the real experiments are performed to confirm the effectiveness and the accuracy of the proposed method.
AB - In this study, the authors propose a blind spot reduction method in wavelet transform-based time-frequency domain reflectometry (WTFDR) by using the Gaussian chirp as the mother wavelet. The blind spot is one of the intrinsic weak points in reflectometry and it means the overlapping ranges of the reference and the reflected signals when the fault is generated at a close distance. Owing to the blind spot, it is difficult to localise the close range fault. Thus, many researchers study the blind spot which is generated in various cables such as electric cable in flight, network cable and power cable. In this study, two methods are used to reduce the blind spot. Firstly, by using the linearity of a complex wavelet transform, the overlapped reference signal at the measured signal is separated and the blind spot is reduced by obtaining the difference of the moduli of the wavelet coefficients for the reference and the reflected signals. Secondly, by using the Gaussian chirp as the mother wavelet, which is designed by considering the characteristics of the cable, the wavelet analysis and the resolution of the WTFDR are improved. Finally, the computer simulations and the real experiments are performed to confirm the effectiveness and the accuracy of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84907152244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907152244&partnerID=8YFLogxK
U2 - 10.1049/iet-spr.2013.0077
DO - 10.1049/iet-spr.2013.0077
M3 - Article
AN - SCOPUS:84907152244
VL - 8
SP - 703
EP - 709
JO - IET Signal Processing
JF - IET Signal Processing
SN - 1751-9675
IS - 7
ER -