Cable Fault Characterization by Time-Domain Analysis From S-Parameter Measurement and Sparse Inverse Chirp-Z Transform

Cable fault characterization usually requires time-domain profiles to locate and quantify failures. These profiles may be obtained from S-Parameters measured in the frequency domain through inverse Fourier methods. The Chirp Z Transform is a common approach for obtaining time-domain parameters from...

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Bibliographic Details
Published inIEEE sensors journal Vol. 21; no. 2; pp. 1009 - 1016
Main Authors Heim Weber, Guilherme, de Moura, Hector Lise, Pipa, Daniel Rodrigues, Martelli, Cicero, Silva, Jean Carlos Cardozo da, Silva, Marco Jose da
Format Journal Article
LanguageEnglish
Published New York IEEE 15.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Cables
Chirp
Discrete Fourier transforms
Frequency-domain analysis
ICZT
Parameters
Reflection
S-parameters
Scattering parameters
sparse analysis
Time domain analysis
Z transforms
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Summary:Cable fault characterization usually requires time-domain profiles to locate and quantify failures. These profiles may be obtained from S-Parameters measured in the frequency domain through inverse Fourier methods. The Chirp Z Transform is a common approach for obtaining time-domain parameters from measured S-parameters. Most existing methods employ the Inverse Chirp Z Transform by a minimum norm solution, which does not have strong physical support. In this paper, we propose a Sparse Inverse Chirp Z Transform approach, specially designed for sparse time-domain signals representing localized fault locations in cables. Two algorithms are proposed to perform the conversion: OMP and FISTA. Their performances are verified in comparison with reference values, showing good agreement for both simulated and experimental data.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2020.2990929