Constructing the topology of complex wire networks using reflectometry response and Newton-based optimization algorithms

Moussa Kafal (1) , Jaume Benoit (1) , Geoffrey Beck (1) , Antoine Dupret (2)

1 LFIC - Laboratoire Fiabilité et Intégration de Capteurs
2 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information

Based on Time-Domain Reflectometry (TDR) technique, a new method which could reconstruct the topology of an unknown or partially unknown network is proposed in this paper. This approach, the TDR-NEW approach, allows the network to be retrieved by drawing its interconnections and estimating the lengths of branches. Two complementary steps are addressed. In the first step the direct problem is modeled using RLCG circuit parameters. Then the Finite Difference Time Domain (FDTD) method conjugated with the ABCD matrix method is used to model the signal propagation in a branched network. This model, the FDTD-ABCD, provides a simple and accurate method to simulate Time Domain Reflectometry responses. In the second step the newton-based optimization method is combined with the wire propagation model to solve the inverse problem and to deduce physical informations about the network from the reflectometry response. Numerical and experimental results pointing out the performance of the TDR-NEW method in reconstructing the topology of branched networks are reported.

Keywords: Numerical methods; Inverse problems; transferometry; reflectrometry; defect; cable; diagnosis; Finite difference time domain method; Time domain analysis; Wiring network; Topology reconstruction; Time-domain reflectometry techniques; Wiring networks; topology reconstruction; time domain reflectometry; newton-based optimization algorithms; Time domain reflectometry; Signal propagation; Physical information; Optimization method; Optimization algorithms; Topology; Reflectometers; Reflection; Permittivity measurement; Optimization

Domains: Instrumentation and Detectors [physics.ins-det]; Electromagnetism; Signal and Image Processing

Moussa Kafal, Jaume Benoit, Geoffrey Beck, Antoine Dupret. Constructing the topology of complex wire networks using reflectometry response and Newton-based optimization algorithms. 2017 International Automatic Testing Conference (AUTOTESTCON), Sep 2017, Schaumburg, United States. pp.8080495, ⟨10.1109/AUTEST.2017.8080495⟩. ⟨cea-01837006⟩