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

作者: Guilherme Heim Weber , Hector Lise de Moura , Daniel Rodrigues Pipa , Cicero Martelli , Jean Carlos Cardozo da Silva

DOI: 10.1109/JSEN.2020.2990929

关键词:

摘要: Cable fault characterization usually requires time-domain profiles to locate and quantify failures. These 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 parameters S-parameters. Most existing methods employ Inverse by minimum norm solution, which does not have strong physical support. In this paper, we propose Sparse approach, specially designed sparse signals representing localized locations cables. Two algorithms are proposed perform conversion: OMP FISTA. Their performances verified comparison with reference values, showing good agreement both simulated experimental data.

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